Bounded Packet Dropouts Research Articles

Self-discipline predictive control against large-scale packet dropouts using input delay approach

This paper develops a novel self-discipline predictive control (SPC) scheme to compensate the missing control inputs of networked control systems (NCS) under arbitrary bounded packet dropouts. Since no feedback measurements are available when there are packet dropouts, the key idea of SPC scheme is that one can adjust its controller gains only based on the latest received state measurement rather than waiting the next available measurement. Then, the future controller gains are predicted by using input delay approach while input to state stability (ISS) is arrived under Lypunov–Krasovskii method and switched system framework. In what follows, the SPC scheme based on the predicted controller gains are used to update the control inputs during packet dropout intervals. A main advantage of this work lies in that the proposed SPC scheme realises a self-stabilisation with only limited feedback measurements under large-scale packet dropouts. At last, simulations on path following control of autonomous vehicles are carried out to show the validity of the proposed SPC scheme.

Modeling and stabilization of networked control systems with bounded packet dropouts and occasionally missing control inputs subject to multiple sampling periods

The paper is concerned with the modeling and stabilization problem of networked control systems under simultaneous consideration of bounded packet dropouts and occasionally missing control inputs. In particular, the focus of the paper is to capture the case where the packet dropouts and control inputs missing are subject to multiple sampling periods, and not periodic as in existing results. By input-delay approach and then fully considering the probability distribution characteristic of packet dropouts in the modeling, the original linear system is firstly transformed to a switched stochastic time-delay system. Meanwhile, the probability distribution values of stochastic delay taking values in m(m ≥ 2) given intervals can be explicitly obtained, which is of vital importance to analyse the stabilization problem of considered system. Secondly, by means of the average dwell time technique, some sufficient conditions in terms of linear matrix inequalities for the existence of desired stabilizing controller are derived. Finally, an illustrative example is given to illustrate the effectiveness of the proposed stabilizing controller and some less conservative results are obtained.

Finite-Time Stabilization of Networked Control Systems with Packet Dropout

The problem of finite-time stabilization for networked control systems with both sensor-to-controller and controller-to-actuator packet dropouts is investigated in this paper.By using the iterative approach, the NCSs with bounded packet dropout is modeled as switched linear systems. Sufficient conditions for finite-time stabilization of the underlying systems are derived via linear matrix inequalities (LMIs). Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.

Packetized MPC with dynamic scheduling constraints and bounded packet dropouts

We study a Networked Control System architecture which uses a communication network in the controller–actuator links. The network is affected by packet dropouts and allows access to only one plant input node at each time instant. This limits control performance significantly. To mitigate these limitations we propose a control and network protocol co-design method. Succinctly, the underlying features of the proposed method are as follows: a sequence of predicted optimal control values over a finite horizon, for an optimally chosen input node, is obtained using Model Predictive Control ideas; the entire resulting sequence is sent to the chosen input node; a smart actuator is used to store the predictions received and apply them accordingly. We show that if the number of consecutive packet dropouts is uniformly bounded, then partial nonlinear gain ℓ2 stability and also a more traditional linear gain ℓ2 stability can be ensured via appropriate choice of design parameters and the right assumptions. Whilst our results apply to general nonlinear discrete-time multiple input plants affected by exogenous disturbances, for a disturbance-free case we prove that Global Asymptotic Stability follows from our main result. Moreover, we show that by imposing stronger assumptions, Input-to-State Stability is achievable as well. Finally we demonstrate the potential of the proposed method via simulations.

Finite-Time Stability and Stabilization of Networked Control Systems with Bounded Markovian Packet Dropout

The finite-time stability and stabilization problems of a class of networked control systems (NCSs) with bounded Markovian packet dropout are investigated. The main results provided in the paper are sufficient conditions for finite-time stability and stabilization via state feedback. An iterative approach is proposed to model NCSs with bounded packet dropout as jump linear systems (JLSs). Based on Lyapunov stability theory and JLSs theory, the sufficient conditions for finite-time stability and stabilization of the underlying systems are derived via linear matrix inequalities (LMIs) formulation. Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.

H∞ Controller Design of Networked Control Systems with Markov Packet Dropouts

This paper presents an H∞ controller design method for networked control systems (NCSs) with bounded packet dropouts. A new model is proposed to represent packet dropouts satisfying a Markov process and late-arrival packets. The closed-loop NCS with a state-feedback controller is transformed into a Markov system, which is convenient for the controller synthesis. Two types of state-feedback control laws are taken into account. Sufficient conditions on the existence of controllers for stochastic stability with an H∞ disturbance attenuation level are derived through a Lyapunov function dependent on the upper bound of the number of consecutive packet dropouts. A numerical example is finally provided to show the effectiveness of the proposed method.

Finite-time boundedness and stabilisation of networked control systems with bounded packet dropout

In this paper, the finite-time boundedness and stabilisation problems of a class of networked control systems (NCSs) with bounded packet dropout are investigated. The main results provided in the paper are sufficient conditions for finite-time boundedness and stability via state feedback. An iterative approach is proposed to model NCSs with bounded packet dropout as jump linear systems (JLSs). Based on Lyapunov stability theory and JLSs theory, the sufficient conditions for finite-time boundedness and stabilisation of the underlying systems are derived via linear matrix inequalities (LMIs) formulation. Moreover, both sensor-to-controller and controller-to-actuator packet dropouts are considered simultaneously. Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.

Finite-Time Stabilization of Linear Systems Over Networks with Bounded Packet Dropout

Finite-Time Stabilization of Linear Systems Over Networks with Bounded Packet Dropout

Finite-Time Control of Networked Control Systems with Bounded Packet Dropout

In this paper, the finite-time boundedness and stabilization problems of a class of networked control systems (NCSs) with bounded packet dropout are investigated. The main results provided in the paper are sufficient conditions for finite-time boundedness and stability via state feedback. An iterative approach is proposed to model NCSs with bounded packet dropout as jump liner systems (JLSs). Based on Lyapunov stability theory and JLSs theory, the sufficient conditions for finite-time boundedness and stabilization of the underlying systems are derived via liner matrix inequalities (LMIs) formulation. Moreover, both sensor-to-controller and controller-to-actuator packet dropouts are considered simultaneously. Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.

Stability Analysis and Controller Design of Networked Control Systems with Packet Dropout

In this paper, the stability and stabilization problems of a class of networked control systems (NCSs) with bounded packet dropout are investigated. An iterative approach is proposed to model NCSs with bounded packet dropout as Markovian jump linear systems (MJLSs). The transition probabilities of MJLSs are partly unknown due to the complexity of network. The system under consideration is more general, which covers the systems with completely known and completely unknown transition probabilities as two special cases. Moreover, both sensor-to-controller and controller-to-actuator packet dropouts are considered simultaneously. The sufficient conditions for stochastic stability and stabilization of the underlying systems are derived via linear matrix inequalities (LMIs) formulation. Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.

Stability and Stabilization of Networked Control Systems with Bounded Packet Dropout

In this paper,the stability and stabilization problems of a class of networked control systems(NCSs) with bounded packet dropout are investigated.An iterative approach is proposed to model the NCSs with bounded packet dropout as Markovian jump linear systems(MJLSs).The transition probabilities of MJLSs are partly unknown due to the complexity of network.The system under consideration is more general,which covers the systems with completely known and completely unknown transition probabilities as two spacial cases.Moreover,both sensor-to-controller and controller-to-actuator packet dropouts are considered simultaneously.Sufficient conditions for stochastic stability and stabilization of the underlying systems are derived via linear matrix inequalities(LMIs) formulation.Lastly,two illustrative examples are given to demonstrate the effectiveness of the proposed results.

Stability and Stabilization of Networked Control Systems with Bounded Packet Dropout

In this paper, the stability and stabilization problems of a class of networked control systems (NCSs) with bounded packet dropout are investigated. An iterative approach is proposed to model the NCSs with bounded packet dropout as Markovian jump linear systems (MJLSs). The transition probabilities of MJLSs are partly unknown due to the complexity of network. The system under consideration is more general, which covers the systems with completely known and completely unknown transition probabilities as two spacial cases. Moreover, both sensor-to-controller and controller-to-actuator packet dropouts are considered simultaneously. Sufficient conditions for stochastic stability and stabilization of the underlying systems are derived via linear matrix inequalities (LMIs) formulation. Lastly, two illustrative examples are given to demonstrate the effectiveness of the proposed results.

A New Estimation Algorithm from Measurements with Multiple-Step Random Delays and Packet Dropouts

The least-squares linear estimation problem using covariance information is addressed in discrete-time linear stochastic systems with bounded random observation delays which can lead to bounded packet dropouts. A recursive algorithm, including the computation of predictor, filter, and fixed-point smoother, is obtained by an innovation approach. The random delays are modeled by introducing some Bernoulli random variables with known distributions in the system description. The derivation of the proposed estimation algorithm does not require full knowledge of the state-space model generating the signal to be estimated, but only the delay probabilities and the covariance functions of the processes involved in the observation equation.