Control Of Switched Systems Research Articles

Finite-time Output Feedback Control for Discrete Asynchronous Switched Systems with Saturation Nonlinearities

Finite-time Output Feedback Control for Discrete Asynchronous Switched Systems with Saturation Nonlinearities

Linear/Nonlinear Active Disturbance Rejection Switching Control for Near−Space Morphing Vehicles Based on Type−2 Fuzzy Logic System

This paper is concerned with the problems of robust switching control for near-space morphing vehicles (NMVs) with a large range of parameter uncertainty and external disturbance. For this purpose, a novel linear/nonlinear active disturbance rejection switching control method for the longitudinal dynamical model of NMVs based on the type−2 fuzzy logic system is proposed. Both linear active disturbance rejection control (LADRC) and nonlinear active disturbance rejection control (NLADRC) were designed for the velocity and altitude subsystems of NMVs. Then, the stability analysis of the cascade closed−loop and switching control systems were carried out. Furthermore, a switching control strategy based on the interval type−2 fuzzy logic system was developed, and the change rules of aerodynamic parameters with Mach number and angle of attack were examined. Finally, the experimental results validated the superior switching performance of the proposed control strategy.

Timer Switching Control Applied to Municipal Water Pumping System

In this paper, the timer control and the inverter control of the pumping system are modelled and simulated. The effects of evaporation, rainfall and seepage are considered to make the model more practical. The proposed timer control model and VFD are used to control the motor pump, which saves a lot of cost. MATLAB/SCIP optimization software was used to implement the developed model. Simulation was used to assess the performance of the proposed electrical timer switching control system. Two scenarios were used to simulate the model: first, a timer control system was applied to a fixed speed water pump, and second, a timer control system was integrated with the VFD power control pump. The simulated results are compared in order to calculate the developed model economic benefit. In comparison to the baseline case, where the load demand is met using a timer control model with a fixed speed motor pump, the simulated results for the given day of operation demonstrate that employing the suggested timer control model with a VFD control motor pump can save 706 ZAR in operating cost each day.

Study on Multi-Mode Switching Control of Intelligent Suspension under Full Road Section

The safety, comfort, and energy feedback of active suspension in a single control mode is mutually restricted. To meet the needs of drivers and passengers for vehicle driving performance under different road conditions, this paper proposes a multi-mode switching control strategy of an intelligent suspension system, aiming at improving the stability and comfort of vehicles under different road conditions. In this paper, the adaptive Kalman filter algorithm with a forgetting factor is used to estimate the road input. The accuracy of the algorithm in estimating the road input is verified by simulation and experiment. The single-double threshold logic judgment method is used to formulate the switching rules between each working mode. In the controller, the PID control of the BP neural network and the LQR control optimized by GA are used to optimize and adjust the vehicle driving performance indexes in different modes, which effectively solves the problem of limited adaptability of suspension control optimization objectives under different road driving conditions. Based on the data from the vehicle acceleration sensor and road condition sensor, the modeling and simulation of the switching control system are carried out. The simulation results show that the designed control system can effectively improve the comprehensive performance of the vehicle under different road driving conditions. Compared with the traditional active suspension, the body acceleration is increased by 26% on the B-grade road surface, which effectively improves the user’s ride comfort. Compared with the traditional active suspension, the tire dynamic displacement is increased by 24% on the D-grade road, which can significantly improve the overall performance of the vehicle and meet the design requirements of the system.

Optimal switching control of 1,3-propanediol fed-batch production with a cost on smooth feeding rate variation

In this paper, we propose a nonlinear switched control system for microbial 1,3-propanediol (1,3-PD) fed-batch production, where the smooth feeding rate of glycerol as well as the switching instants between batch process and feeding process are taken as control variables. To maximize 1,3-PD yield and minimize the fluctuation of feeding rate, we then present an optimal switching control problem with a cost on the smooth feeding rate variation and subject to path constraints reflecting the operational requirements. For solving this problem, we convert it to a series of parameter optimization problems by using a novel control parameterization scheme, a time-scaling transformation and a constraint transcription technique. An analytical expression of the total variation for the smooth feeding rate is also derived. On this basis, we develop a parallel Particle Swarm Optimization (PSO) algorithm together with the gradient-based optimization to solve the resulting problem. Finally, numerical simulations indicate that sacrificing a small amount of 1,3-PD can reduce the feeding rate variation significantly.

Passivity-Based Adaptive Fuzzy Control for Stochastic Nonlinear Switched Systems via T–S Fuzzy Modeling

In this paper, state-estimator-based adaptive control is under consideration for a sort of nonlinear stochastic switched systems by Takagi-Sugeno (T-S) fuzzy modeling and sliding mode technique. A new fuzzy sliding surface is established by a reformed state estimator, and a novel adaptive fuzzy reaching motion controller synthesis is carried out to force the state trajectories onto the designated sliding surface in limited moments. A new mean-square exponential stability of the resultant plant with passivity is ensured under the average dwell time method and stochastic stability theory. The key challenge overcome here is that one conditional assumption involved in the previous sliding mode control-based strategies for the considered systems is no longer required despite the unavailable states, unknown perturbations and specified switching signal. At last, a practical data communication network model (DCNM) with simulation is offered to verify the feasibility of the theoretical result.

Asynchronous control for semi-Markov switching systems with singular perturbation and an improved protocol

This study addresses the asynchronous control problem for a semi-Markov switching system in the presence of singular perturbation and an improved triggering protocol. To decrease the occupation of network resources, an improved protocol is skillfully established by adopting two auxiliary offset variables. Unlike the existing protocols, the established improved protocol is capable of arranging information transmission with more degrees of freedom, thereby reducing the communication frequency and maintaining control performance. Apart from the reported hidden Markov model, a nonhomogeneous hidden semi-Markov model is used to handle the mode mismatch between the systems and controllers. Benefiting from Lyapunov techniques, parameter-dependent sufficient conditions are devised to ensure a stochastically stable subject to a predetermined performance. Finally, the validity and practicability of the theoretical results are verified via a numerical example and a tunnel diode circuit model.

Nussbaum‐based robust adaptive control for nonlinear switching systems with switching unknown control coefficients

AbstractThis paper develops a robust adaptive dynamic surface control (DSC) design approach for switching strict feedback nonlinear systems with multiple switching control gains and unknown control directions. To capture the multiple unknown control directions, we design multiple Nussbaum‐type gains for every subsystem. Based on this Nussbaum‐type gain design, we construct a common Lyapunov function for all subsystems via backstepping technique, which can ensure the system stability under the existence of random switches. Meanwhile, the problem of multiple switching control gains is resolved by this means. To obviate repeated differentiation and decrease computation complexity, the dynamic surface control technique is introduced. Finally, two simulation examples are provided to validate the effectiveness of the developed method.

Positive effects of time delays on the stability of switched control systems with partial state feedback information

In this paper, a novel state-dependent switching controller with delayed positive partial state feedback is proposed to stabilise a controlled system with insufficient state information. At first, the controlled system is converted to a single-degree-of-freedom vibrational system by using an invertible transform and a second-order Taylor approximation for the time delay term. Then, appropriate control gain parameters and a state-dependent switching rule are designed via the physical meaning of the resulting vibrational system. By combining the advantages of delayed positive position feedback with the state-dependent switching mechanism, we find that the time delay can considerably improve the asymptotic stability of the controlled system. Finally, three numerical examples show that the proposed controller is effective and that time delay indeed plays a prominent positive role in switched control systems.

Dynamic Output Feedback Control for Asynchronous Switched Systems in Network Environments Subject to Deception Attack

Dynamic Output Feedback Control for Asynchronous Switched Systems in Network Environments Subject to Deception Attack

Event-triggered H∞ Control for Switched Systems Under Multiple Attacks

Event-triggered H∞ Control for Switched Systems Under Multiple Attacks

SMC for Discrete-Time Nonlinear Semi-Markovian Switching Systems With Partly Unknown Semi-Markov Kernel

This article is devoted to the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Motivated by the fact that the complete information of the semi-Markov Kernel is difficult to be obtained in practical applications, it is recognized to be partly unknown as the most common mean. By utilizing the prior information of the sojourn-time upper bound for each switching mode, sufficient conditions under the equivalent DSMC law are proposed for the mean square stability. Moreover, the designed DSMC law realizes the finite-time reachability of the sliding region, and makes the sliding dynamics converge to the predesignated sliding region in a finite time. In the end, a numerical example and an electronic throttle model are given to validate the proposed control strategy.

Trajectory tracking switching control system for autonomous crawler dump under varying ground condition

This study proposes an autonomous crawler dump trajectory tracking control system considering varying ground surfaces. The proposed system comprises three-mode proportional–integral controllers, a switching mechanism, and a ground condition estimator. The need for controller switching is clarified through model identification of a crawler dump using the input and output (sensor) signals measured from Kajima’s experimental field with hard and soft surfaces. The features in the measured z-axial acceleration signal help construct the ground condition estimator using a support vector machine. The resulting trajectory tracking errors were evaluated numerically and statistically to verify system effectiveness. Moreover, the superior performance of the three-mode control system was highlighted by comparing the numerical evaluation results with that of a two-mode switching control system. Furthermore, the proposed simulation-model-based control system design can be extended to a multiple-mode switching control system considering several ground conditions for autonomous crawler dumps.

Robust Fault Tolerant Control for Uncertain Switched Systems with Time Delay

Robust Fault Tolerant Control for Uncertain Switched Systems with Time Delay

Dynamic Event-triggered Adaptive Control for Uncertain Nonlinear Switched Systems Based on MDADT Method

Dynamic Event-triggered Adaptive Control for Uncertain Nonlinear Switched Systems Based on MDADT Method

Retracted: Accelerated Iterative Learning Control for Linear Discrete Time Invariant Switched Systems

Retracted: Accelerated Iterative Learning Control for Linear Discrete Time Invariant Switched Systems

Sliding mode control and its application in switched systems: A survey

According to the development and research of sliding mode variable structure control (SMVSC) in recent years. This paper mainly reviews the development and applications of some popular sliding mode control (SMC), such as adaptive SMC, discrete-time system SMC, fuzzy SMC, and neural network SMC. With the research and development of switched system (SS), the research scholars can deal with the complex and changeable system more effectively by combining the SMC with the SS, so as to improve the efficiency and stability of the system. The theoretical research and applications of SMC combined with fuzzy SS, predictive SS and uncertainty SS are also becoming more and more attractive. The purpose of this paper is to analyze and organize the current research status of the popular directions of SMC, and provide the readers with the latest research results on the application directions and new trends in the field of SMC. By considering these theoretical studies and numerous applications, the research and development of intelligent control techniques and switching systems based on sliding mode control are reviewed. Finally, some prospects for related research are presented.

Output Feedback Control for Switched Systems With Unmatched Uncertainties Based on the Common Robust Integral Sliding Mode

Output Feedback Control for Switched Systems With Unmatched Uncertainties Based on the Common Robust Integral Sliding Mode

Simulation of Sequential Turbocharging Switching Control System for Low Speed Diesel Engines

In order to study the sequential turbocharging switching process of low-speed diesel engine, this paper uses GT-power software to establish a simulation model of sequential turbocharging low-speed diesel engine. It is enhanced and improved into a model of a sequential supercharged diesel engine. Modules such as load, governor, valve control, and surge margin are set up in the simulation model. Then parameters such as switching speed, valve opening time and response time are set in the model. Through the above preparations, the thesis has carried out the simulation calculation of the sequential supercharging transient switching process and verified the rationality of the setting parameters and the accuracy of the module setting. This provides a certain reference for the valve control strategy of the sequential supercharging switching system of low-speed diesel engines.

Finite-time boundedness of networked control systems via hybrid predictive control based on cloud storage method

In this paper, we investigate the problem of predictive control for a class of networked control systems (NCSs) based on the cloud storage method (CSM). To improve the system’s transient performance and actively compensate for the time-varying delays (TVDs) and data packet dropouts (DPDs), a hybrid networked predictive control (NPC) method is proposed. The switched control system is established based on a class of switching signals varying with the TVDs and DPDs. Novel finite-time hybrid stabilization controllers are proposed by using NPC theory. Then, sufficient conditions are developed to ensure the finite-time boundedness (FTB) of the augmented switched systems. Two experiments illustrate the performance to verify the effectiveness of the proposed results.