Feasible Conditions Research Articles

Circumventing carbon formation in CO2 reforming of methane by an adiabatic post conversion reactor

Feasible process conditions for reforming of gas mixtures of CH4 and CO2 into CO-rich synthesis gas are dictated by the risk of carbon formation. To overcome this risk, a minimum steam requirement exists for the process as determined by thermodynamic considerations. This work describes an approach for using a well-known nickel-based catalyst system to enable production of CO-rich synthesis gas at low steam-to-hydrocarbon-carbon (S/C) ratios. The concept utilizes a two-reactor approach where traditional steam reforming is done initially, followed by CO2 addition to the hot synthesis gas and subsequent conversion in an adiabatic reactor, a so-called Adiabatic POst Converter (APOC). This allows for operating at overall S/C ratios of below 1.5; which is much lower than what is possible in a conventional fired reformer. The central element of the APOC is that the temperature is kept higher than 700–800 °C to circumvent the carbon limits. The process elements were demonstrated by a combination of thermodynamic calculations, process calculations, and laboratory experiments. The concept allows for design of significantly more compact reformers (up to 30 % reduced size), which in turn also reduces firing and thereby CO2 emissions. The concept can also be used in existing plants where the capacity can be boosted by adding an APOC.

Robust output formation control for uncertain multi-agent systems

The robust output formation problems are considered for uncertain multi-agent systems. The dynamic of each agent is constructed by a nominal system combined with uncertainties and external disturbances. Based on the interaction topology among agents, a robust time-invariant formation controller is proposed. The designed controller consists of two parts: a nominal output feedback formation controller and a robust compensator. The nominal controller is designed to achieve the desired output formation, and the robust compensator is introduced to restrain the influence of the uncertainties and disturbances. An output formation feasible condition is proposed, and it is proven that the output formation error can be made arbitrarily small. Finally, a simulation example is provided to illustrate the obtained theoretical results.

A pilot study: Efficient electrowinning of tellurium from alkaline solution by cyclone electrowinning technology

Efficient electrowinning is critical for industrial tellurium (Te) production. To overcome the bottlenecks of a low production rate and low recovery in conventional processes, Te electrowinning tests with three different current densities were conducted in an industrial pilot-scale cyclone electrowinning cell. A numerical simulation of the flow field and electric field in the electrowinning cell was undertaken and the results were visualized by finite-element analysis using COMSOL Multiphysics. The cathode Te purity and production parameters were compared with those of the traditional technology. The numerical simulations and pilot-scale test results indicated that the electrolyte flow rate near the cathode wall remained above 0.15 m·s−1 because of the high flow velocity at the base. A feasible condition for Te electrowinning with high current densities was provided based on the electrode reaction kinetics. Te was deposited stably at a large scale and at high current densities up to 200 A·m−2. Efficient Te electrowinning was achieved with a high current efficiency of 97.1% on an industrial scale. The production rate was increased from 0.88 kg·m−2·d−1 to 5.04 kg·m−2·d−1 and the final electrolyte concentration was reduced from 80 g·L−1 to 30 g·L−1. A 2 N Te product was obtained with a recovery of 85.22%, and the Te purity after casting increased to 4 N. The excessive current density at the edge of the cathode sheet that was caused by the edge effect resulted in the formation of prominent nodules. The cathode sheet disintegrated because of an excessive deposition current and uneven edge current density.

Thermogravimetric analysis and pyrolysis product characterization of municipal solid waste using sludge fly ash as additive

MSW pyrolysis was performed in a fixed-bed reactor at 700 °C and sludge fly ash (SFA) was used as an additive. Only organic fractions of MSW were considered. The yield of the products was compared under three conditions: without SFA, with 5% SFA and with 10% SFA. TG-FTIR was also performed on the single, mixed and SFA fractions of MSW to determine the kinetic parameters of the feedstock. The plastic and rubber fractions were the most useful fractions of MSW. Kinetic analysis showed that addition of SFA resulted in the reduction of the apparent activation energy (E). With SFA pyrolysis, the liquid yield decreased from 20.8% to 6.4% and the gas yield increased from 65.5% to 76.4% with 5% SFA and then, decreased to 73.2% with 10% SFA. The major active species in SFA (CaO, SiO2 and Fe2O3) greatly promoted tar cracking effect, resulting in greater gas and lower liquid yield. Addition of 5% SFA, proved to be the most feasible condition, because of higher H2 yield, lowest char yield and better quality liquid product. Thus, concentration of SFA additive proved to be an important factor in products formation of MSW pyrolysis. The possible ecological risk valuation of heavy metals in chars showed the RI values, with 5% and 10% SFA, as 49.02 and 65.10, respectively. This work demonstrated that addition of sludge fly ash played a vital role in the pyrolysis of MSW.

Asymptotically efficient root estimators for spatial autoregressive models with spatial autoregressive disturbances

This paper considers closed-form root estimators for spatial autoregressive models with spatial autoregressive disturbances (SARAR model). We first derive a simple consistent closed-form estimator. Then we construct feasible moment conditions that are quadratic in the spatial lag and spatial error dependence parameters separately, which generate root estimators with closed forms. We consider both the cases with homoskedastic and unknown heteroskedastic disturbances. In the homoskedastic case, the root estimator can be asymptotically as efficient as the quasi-maximum likelihood estimator (QMLE); in the heteroskedastic case, it can be asymptotically as efficient as a method of moments estimator (MME) that sets adjusted quasi-maximum likelihood scores to zero, where the adjusted scores have zero means at the true parameters. The root estimators and their associated standard errors can avoid the computation of any matrix determinants or inverses, so they are computationally simple without iterations, especially valuable for big data where the sample size is large.

A unitary operator construction solution based on Pauli group for maximal dense coding with a class of symmetric states

Quantum dense coding plays an important role in quantum cryptography communication, and how to select a set of appropriate unitary operators to encode message is the primary work in the design of quantum communication protocols. Shukla et al. proposed a preliminary method for unitary operator construction based on Pauli group under multiplication, which is used for dense coding in quantum dialogue. However, this method lacks feasible steps or conditions and cannot construct all the possible unitary operator sets. In this study, a feasible solution of constructing unitary operator sets for quantum maximal dense coding is proposed, which aims to use minimum qubits to maximally encode a class of t-qubit symmetric states. These states have an even number of superposition items, and there is at least one set of $$\left\lceil {{t \over 2}} \right\rceil $$ qubits whose superposition items are orthogonal to each other. Firstly, we propose the procedure and the corresponding algorithm for constructing $${2^{t}}$$ -order multiplicative modified generalized Pauli subgroups (multiplicative MGP subgroups). Then, two conditions for t-qubit symmetric states are given to select appropriate unitary operator sets from the above subgroups. Finally, we take 3-qubit GHZ, 4-qubit W, 4-qubit cluster and 5-qubit cluster states as examples and demonstrate how to find all unitary operator sets for maximal dense coding through our construction solution, which shows that our solution is feasible and convenient.

Reduction of Process Variations for Sub-5-nm Node Fin and Nanosheet FETs Using Novel Process Scheme

Process (systematic) variations of sub-5-nm node fin field-effect transistors (FinFETs) and nanosheet field-effect transistors (NSFETs) were investigated thoroughly using fully calibrated TCAD. All the process parameters consisting of front-end- as well as middle-of-line structure were independently randomized within feasible process conditions. A novel process scheme called source/drain patterning (SDP), having a superior performance by decreasing outer fringing capacitance through the downsized source/drain (S/D) epi, has also been analyzed for the variability study. SDP FinFETs have smaller variations of threshold voltages ( ${V}_{\text {th}}{)}$ , OFF-state currents ( ${I}_{ \mathrm{\scriptscriptstyle OFF}}{)}$ , and effective currents ( ${I}_{\text {eff}}{)}$ than conventional ones because the subfin leakage is effectively controlled by bottom oxide (BO) beneath the source/drain instead of high punchthrough-stopper doping. The Spearman’s correlation results between process parameters, ${I}_{ \mathrm{\scriptscriptstyle OFF}}$ , and ${I}_{\text {eff}}$ , showed that the process parameters affecting the short-channel effects vary ${I}_{ \mathrm{\scriptscriptstyle OFF}}$ and ${I}_{\text {eff}}$ greatly. Especially, the most critical one was the fin width ( ${W}_{\text {fin}}{)}$ for FinFETs. SDP NSFETs have the smallest variations of ${V}_{\text {th}}$ , ${I}_{ \mathrm{\scriptscriptstyle OFF}}$ , and ${I}_{\text {eff}}$ . The BO blocks the bottom leakage completely, and the variations of nanosheet (NS) thickness ( ${T}_{\text {NS}}{)}$ are much smaller than those of ${W}_{\text {fin}}$ due to the different process flows: epitaxial growth for ${T}_{\text {NS}}$ versus patterning for ${W}_{\text {fin}}$ . Therefore, NSFETs are promising to reduce the variations of ${V}_{\text {th}}$ , ${I}_{ \mathrm{\scriptscriptstyle OFF}}$ , and ${I}_{\text {eff}}$ in the sub-5-nm node.

The effects of exogeneous papain enzyme in the feed on growth and blood profiles of Sangkuriang catfish (Clarias sp.) cultivated in the pond

The objectives of the study were to evaluate the effects of exogeneous papain enzyme supplemented feed on the growth and blood profiles of Sangkuriang catfish (Clarias sp). The intensive culture system of Sangkuriang catfish decreases water quality that hinders fish growth. The cultivation practices also develop diseases that further decreases the production, including through feeding that contain immunostimulant. The fish sample was Sangkuriang catfish with the average weight of 12.84 (±0.69) g per fish. The experiment used papain enzyme supplemented feed with 5 (five) treatments. Those treatments were A (0 g papain per kg feed), B (0.5 g papain per kg feed), C (1 g papain per kg feed), D (1.5 g papain per kg feed), E (2 g papain per kg feed). Parameters observed were diet usage efficiency (EFU), ratio of protein efficiency (PER), relative growth rate (RGR), survival rate (SR), blood profiles and water quality. The results show that papain enzyme supplementation in the feed significantly (P<0.01) affected on EFU, PER, and RGR; however, it did not significantly influence SR and blood profiles of Sangkuriang catfish. The optimal dose of the papain enzyme for EFU, PER and RGR were 1 g per kg feed. The water quality during study had been in feasible condition for Sangkuriang catfish cultivation.

Innovative Solar Sail Earth-Trailing Trajectories Enabling Sustainable Heliophysics Missions

The presented trajectory design study demonstrates that near-future solar sails can reach and maintain innovative science orbits about non-traditional Earth-trailing equilibrium points. The proposed configurations can enable long duration stereoscopic solar imaging while potentially alleviating telemetry requirements constraining current solar sail studies. Initial guesses for controlled periodic orbits about equilibrium points that trail the Sun-Earth line by 1.5∘-15∘ are constructed from a linearized solar sail circular restricted three body problem equations of motion. Orbits are then converged in the full nonlinear model using a high order direct collocation method. Transfers to Earth-trailing orbits are then constructed under the assumption that the solar sail is a secondary payload on a larger spacecraft en-route to the Sun-Earth L1 Lagrange point. Naturally occurring gravitational manifolds flowing towards the Lagrange point, as well as navigation data from previous Lagrange point missions, are used to generate a set of baseline trajectories for the primary spacecraft. End-to-end trajectory design and optimization is then carried out to construct time optimal solar sail transfers to each target science orbit from initial conditions constrained to lie on the carrier spacecraft’s Lagrange point trajectory. Additionally, trade studies are performed to assess how sail performance and Earth-trailing orbit selection affect transfer time of flight and instrument pointing accuracy. Results indicate that, based on current technological developments, near future solar sails are capable of station keeping about periodic Earth-trailing orbits while maintaining near-constant solar observation. Moreover, time of flights on the order of 1 year are observed for most combinations of sail performance and feasible initial conditions.

Extraction of ore reserves from pillars in room-and-pillar mining

The geotechnical situation in mines using the open stoping methods is governed by complex geomechanical behavior of rock mass around rib and level pillars. The impact of rock pressure on underground excavations grows in this case, and dynamic events due rock pressure happen more often. The latter became the reason for implementing this research. In terms of steeply dipping ore bodies, safe mining of earlier left pillars is feasible. The best scenario for pillar extraction, considering their parameters, is caving to open and partly filled with overlying rocks stopes. The geomechanical calculations during justification of mining parameters during extraction of ore reserves from pillars have determined regular patterns in the stress–strain behavior of rocks mass, which contributes to qualitative and quantitative prediction of safe and feasible mining conditions. The zones of instability in structural elements of the geotechnology, including pillars, are detected. The author proposes the order and sequence of pillar caving to open and partly filled stopes at the admissible completeness and quality of extraction.

Influence of Dental Implant Design on Stress Distribution and Micromotion of Mandibular Bone

This research was conducted to provide a feasible method for reconstructing the 3D model of mandibular bone to undergo finite element analysis to investigate von Mises stress, deformation and shear stress located at the cortical bone, cancellous one and neck implant of the proposed dental implant design. Dental implant has become a significant remedial approach but although the success rate is high, the fixture failure may happen when there are insufficient host tissues to initiate and sustain the osseointegration. Computerised Tomography scan was conducted to generate head images for bone reconstruction process. MIMICS software and 3-matic software were used to develop the 3D mandibular model. The reconstructed mandibular model was then assembled with five different 3D models of dental implants. Feasible boundary conditions and material properties were assigned to the developed muscle areas and joints. The highest performance design with the best responses was the design B with the value for the von Mises stress for the neck implant, cortical and cancellous bone were 7.53 MPa, 16.91 MPa and 1.34 MPa respectively. The values for the maximum of micromotion for the neck implant, cortical and cancellous bone of design B were 20.60 μm, 21.17 μm and 5.83 μm respectively. Shear stress for neck implant, cortical and cancellous bone for this design were 0.15 MPa, 4.74 MPa and 1.54 MPa respectively. The design with a cone shaped hole which is design B was the proper design when compared with other designs in terms of von Misses stress, deformations and shear stress.

Operation Optimization of Liquid Cooling Systems in Data Centers by the Heat Current Method and Artificial Neural Network

Liquid cooling systems in data centers have been attracting more attentions due to its better cooling capability and less energy consumption. In order to propose an effective optimization method for the operation of indirect liquid cooling systems, this paper first constructs an experiment platform and applies the heat current method to build the global heat transfer constraints of the whole system. Particularly, the thermal conductance of each heat exchanger under different working conditions is predicted by the Artificial Neural Networks (ANN) trained by the historical data. On this basis, combining the heat transfer and fluid flow constraints together with the Lagrange multiplier method builds the optimization model with the objective of minimum pumping power consumption (PPC), solving which by the solution strategy designed obtains the optimal frequencies of the variable frequency pumps (VFPs). Operating with the optimal and other feasible operating conditions validates the optimization model. Meanwhile, the experiments with variable heat loads and flow resistances provide some guidelines for the optimal system operation. For instance, to address heat load increase of a branch, it needs to increase the frequencies of the VFPs, not only the corresponding hot loop but also the whole cold loop.

Assessments of breeding practices, major constraints and opportunities of sheep and goat production in Sinana district, bale zone, Ethiopia

The study was conducted in selected Rural Kebeles of Sinana District, Bale Zone of Ethiopia with the objectives to identify the breeding practices and assess the major challenges and opportunities of sheep and goat production under taken. Both primary data through structured questionnaire and secondary data from different relevant offices, published and unpublished sources were gathered. A set of semi-structured questionnaire were used to collect data from 120 farmer-owning shoats based on single-visit-interviews. To enrich the primary data, field observations and group discussions were also undertaken. The result of the study indicated that majority of the respondents kept their sheep and goat under free grazing and partly tethered management, respectively during dry and wet season. The main reason for keeping sheep and goat by majority of the farmers (81%) is as a source of money to supplement family income. Almost the entire interviewed households were practices fattening for targeted market. From interviewed respondents 33 (27.5%), 29 (24.17%) and 26 (21.67%) of respondents select animals for fattening based on body conformation, age and local ecotypes, respectively. The most type of feeding systems practices in the study area was free grazing (90.83% during dry; 79.17% during wet season). Natural pasture and crop residues were the main feed resource during the rainy season whereas natural pasture, crop residue, and local brewery by product are the main dry season feeds. Feed shortage, land scarcity, and untimely credit access were the major constraints that hinder sheep and goat productivity in the study area. About 53.9% of interviewed households declared that, sheep and goat health problem were occurred. Overall mortality rate of sheep and goat in study area were 12.9% and 14%, respectively. The highest mortality rate occurred in suckling flock (16% lambs; 16 kids %), young flock (9.6 % lambs; 13% kids) and breeding females (ewes 12% and does 14%) in all study sites. The available opportunities of sheep and goat production in the study area were feasible weather condition followed by availability of adapting local sheep and goat breed, market access and government intervention.

An Efficient Resource Allocation for Massive MTC in NOMA-OFDMA Based Cellular Networks

To alleviate random access congestion and support massive-connections with less energy consumption for machine-type communications (MTC) in the 5G cellular network, we propose an efficient resource allocation for massive MTC (mMTC) with hybrid non-orthogonal multiple access (NOMA)-orthogonal frequency division multiple access (OFDMA). First, a hybrid multiple access scheme, including the NOMA-based congestion-alleviating access scheme (NCAS) and OFDMA-based congestion-alleviating access scheme (OCAS), is proposed, in which the NOMA based devices coexist with OFDMA based ones. Then, aiming at maximizing the system access capacity, a traffic-aware resource blocks (RBs) allocation is investigated to optimize RBs allocation for preamble transmission and data packets transmission, as well as to optimize the RBs allocation between NCAS and OCAS for the RBs usage efficiency improvement. Next, aiming at the problem of high computational complexity and improving energy efficiency in hybrid NOMA-OFDMA based cellular M2M communications, this paper proposes an improved low complexity power allocation algorithm. The feasibility conditions of power allocation solution under the maximum transmit power constraints and quality of service (QoS) requirements of the devices is investigated. The original non-convex optimization problem is solved under the feasibility conditions by two iterative algorithms. Finally, a device clustering scheme is proposed based on the channel gain difference and feasible condition of power allocation solution, by which NOMA based devices and OFDMA based devices can be determined. Simulation results show that compared with non-orthogonal random access and transmission (NORA-DT), the proposed resource allocation scheme for hybrid NOMA-OFDMA systems can efficiently improve the performance of access capacity and energy efficiency.

The efficiency of the coal industry based on the factor of labor productivity growth

Relevance. Insufficiently high labor productivity at coal mining enterprises actualizes a study to increase the efficiency of their activities based on the factor of productivity growth. Purpose – substantiation of a possible increase in labor productivity with a change in the ratio of open and underground mining methods. Methodology – analysis of changes in labor intensity with various options for the share of open and underground development methods, as well as assuming an increase in production. Results. Issues of effective production and economic activity of coal industry enterprises are considered taking into account the factor of increasing labor productivity of workers. For the efficient functioning of coal mining enterprises, certain correlations should be fulfilled between the rates of change in the volume of coal production, labor productivity and the cost of coal production. Changes in coal production can be achieved mainly by the ratio of underground and open-cast mining. An approach to determining the level of labor intensity of work in the coal industry with a change in the ratio of underground and open coal mining methods is proposed; with a corresponding increase in labor productivity, the unit cost of production in the planning period is determined. The factors of growth of labor productivity in the coal industry are given: an increase in the utilization rate of combines for sewage treatment and bucket excavators for opencast mines; progressive changes in the design and operational characteristics of the main coal mining equipment; the use of imported equipment only in economically feasible mining conditions; the possibility of growth of stimulating factors to ensure the corresponding labor productivity of coal mining workers; increase in the share of coal from mines and opencasts with low cost of coal mining. Conclusions. The approach developed by the authors to determine the level of reduction in the labor intensity of work in the coal industry can be used in conditions of changing the ratio of open and underground mining methods, and accordingly, the change in the cost of production of one ton of coal as a whole for the joint-stock company can be forecasted.

Understanding the role of surface textures in improving the performance of boundary additives, part II: Numerical simulations

Tribological performance of mating surfaces can be improved by developing surfaces with predefined textures and it is crucial to understand their role in modifying the performance and action of boundary lubrication additives. An isotropic texture T1, intermediate texture T2 and anisotropic texture, T3, were imported into our mixed simulation framework. It was found that T3 outperforms by providing the most feasible conditions for the activation of the lubricant additive, molybdenum dithiocarbamate (MoDTC) i.e. generating higher pressure peaks (shear), making more lubricant (reactant) available and providing greater load bearing area (greater reaction probability). Hence, facilitating the formation of functional boundary films. T2 seems to generate highest pressure peaks but its performance is worst due to its inability to sustain lubricant within the contact.

Secured green communication scheme for interference alignment based networks

In this paper, a new security and green communication scheme is proposed to the interference-alignment (IA) based networks. To achieve a secured communication, full-duplex receivers are utilized to transmit artificial noise (AN). Both the signals and the ANs are used to harvest energy to realize green communication. For these reasons, the feasible conditions of this scheme are analyzed first. Secondly, the average transmission rate, the secrecy performance and the harvested energy are investigated. Thirdly, an optimization scheme of simultaneous wireless information and power transfer (SWIPT) is given to optimize the information transmission and the energy harvesting efficiency. Meanwhile, an improved IA iteration algorithm is designed to eliminate both the AN and the interference. Furthermore, relay cooperation is considered and its system performance is analyzed. The simulations show that the target average transmission rate is not affected by AN, while the secrecy performance can be greatly improved. The energy harvesting efficiency is also better than the traditional schemes. As expected, the average transmission rate further is improved with the relay cooperation.

Characterisation of the internal resonances of a clamped-clamped beam MEMS resonator

Nonlinear coupling between modes through internal resonance has many applications in MEMS resonators. The primary objective of this work is to systematically study all possible internal resonance conditions between the first three modes and the feasibility of mode interaction in an electrostatically excited, straight, clamped-clamped beam. The static displacement and the first three natural frequencies of the beam are obtained for an applied DC voltage by using Galerkin based reduced order model and finite element method. All six possible commensurable relations between the first three frequencies of the beam are obtained by sweeping the non-dimensional parameters ($$\alpha _1$$ and $$\alpha _2 V_\mathrm{dc}^2$$) which depend on beam dimensions, material properties and external forcing. It is also demonstrated by a further examination of the dynamical equations that only one resonance condition is capable of exhibiting modal coupling when externally excited. A detailed analysis is carried out for this feasible resonance condition by altering $$\alpha _1$$ and $$\alpha _2 V_\mathrm{dc}^2$$ and solving the relevant nonlinear coupled equations by using both numerical time integration and the method of multiple scales. From this study, we observe that the lower mode is automatically excited after driving amplitude for the higher mode reaches a critical value—a sign of mode interaction initiation. We also find that amplitude of the higher mode is saturated after interaction with the lower mode for a combination of $$\alpha _1$$ and $$\alpha _2 V_\mathrm{dc}^2$$. Moreover, we see that the frequency bandwidth of modal interaction increases with excitation amplitude for all combinations of $$\alpha _1$$ and $$\alpha _2 V_\mathrm{dc}^2$$. Finally, the role of external damping on the amplitude-frequency response curve of both modes during the mode interaction is also investigated.

Distributed time-varying group formation control for generic linear systems with observer-based protocols

In this paper, the time-varying group formation control for linear multi-agent systems under directed communication topology is investigated from an observer viewpoint. Different from the existing works on the time-varying group formation, the groups herein could have a cyclic partition, which is more common in real applications than the topology with the acyclic groups. The leaderless time-varying group formation problem is studied first. An observer-based distributed protocol is presented for each agent, where the observer is used to estimate the unmeasurable state utilizing the output information. Then, to broaden the scope of applications, we further study the leader-following case, in which there exists a leader with nonzero and bounded input for each subgroup. To tackle this problem, we take the input of the leader as a disturbance, and develop the new forms of control protocols with nonlinear functions. Furthermore, for both cases, it is shown that under the formation feasible conditions, the desired time-varying group formation can be achieved if the strong enough intra-group coupling is selected and the corresponding digraph of each subgraph contains a directed spanning tree. Finally, two simulation examples are given.

Dissipativity-Based Asynchronous Repetitive Control for Networked Markovian Jump Systems: 2-D System Approach

This article addresses the dissipativity-based asynchronous repetitive control problem for networked Markovian jump systems subject to time delays and partly accessible mode detection probabilities. A hidden Markov model is introduced to describe the asynchronous phenomenon between the system modes and controller modes. Based on this, an asynchronous repetitive controller is proposed. By utilizing the lifting technique, the 1-D delayed Markovian jump system and controller governing equations are converted into a stochastic and closed-loop 2-D delayed model to describe the control and learning actions. Utilizing a stochastic Lyapunov functional, sufficient conditions in terms of matrix inequalities are derived such that the closed-loop system is mean-square stable and achieves the specified $(\mathscr {W}_1,\mathscr {W}_2,\mathscr {W}_3)$ - $\gamma$ -dissipative performance. Under the assumption that the input matrix is full column rank in all modes of operation, a set of feasible sufficient conditions described by linear matrix inequalities is established by making use of the Schur complement. A procedure for synthesizing the controller parameters is also provided. A detailed numerical example with simulation results is presented to validate the proposed dissipativity-based asynchronous repetitive control design scheme.