Output-Feedback Control for Nonlinear Stochastic Systems With Successive Packet Dropouts and Uniform Quantization Effects

In this paper, the dynamic output-feedback control problem is studied for a class of discrete-time nonlinear stochastic systems with successive packet dropouts and uniform quantization effects. The stochastic system under investigation involves state-, control-, and disturbance-dependent noises (also called (<inline-formula> <tex-math notation="LaTeX">${x}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">${u}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">${v}$ </tex-math></inline-formula>)-dependent noises) that bring in substantial difficulties in the stability analysis. The phenomenon of successive packet dropouts is governed by a binary switching random sequence. The measurement output is subject to the uniform quantization which results in the norm-bounded disturbances, and the concept of input-to-state stability in probability is introduced to deal with this kind of disturbances. In virtue of intensive stochastic analysis, several sufficient conditions are established to guarantee that the closed-loop system is input-to-state stable in probability under the effects of probabilistic packet dropouts as well as uniform quantizations. As an easy consequence, the design problem with linear output-feedback controllers is discussed for the benefits of practical applications and some simplified conditions are derived. Finally, a numerical example is presented to illustrate the effectiveness of the proposed method.

[1]  H. Karimi Robust H 1 Filter Design for Uncertain Linear Systems Over Network with Network-Induced Delays and Output Quantization , 2009 .

[2]  Eduardo Sontag,et al.  On characterizations of the input-to-state stability property , 1995 .

[3]  James Lam,et al.  Dynamic output feedback H ∞ control of discrete-time fuzzy systems: a fuzzy-basis-dependent Lyapunov function approach , 2007, Int. J. Syst. Sci..

[4]  U. Shaked,et al.  H∞ Control for Discrete-Time Nonlinear Stochastic Systems , 2004 .

[5]  Nicola Elia,et al.  Stabilization of linear systems with limited information , 2001, IEEE Trans. Autom. Control..

[6]  Bor-Sen Chen,et al.  Some Remarks on General Nonlinear Stochastic $H_{\infty }$ Control With State, Control, and Disturbance-Dependent Noise , 2014, IEEE Transactions on Automatic Control.

[7]  Peng Shi,et al.  Adaptive tracking control for switched stochastic nonlinear systems with unknown actuator dead-zone , 2015, Autom..

[8]  Dragan Nesic,et al.  Input-to-State Stabilization of Linear Systems With Quantized State Measurements , 2007, IEEE Transactions on Automatic Control.

[9]  Jun Hu,et al.  A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements , 2016, Autom..

[10]  Tingwen Huang,et al.  An Event-Triggered Approach to State Estimation for a Class of Complex Networks With Mixed Time Delays and Nonlinearities , 2016, IEEE Transactions on Cybernetics.

[11]  Bor-Sen Chen,et al.  Infinite horizon H∞ control for nonlinear stochastic Markov jump systems with (x, u, v)-dependent noise via fuzzy approach , 2015, Fuzzy Sets Syst..

[12]  Li Sheng,et al.  Observer-based H∞ fuzzy control for nonlinear stochastic systems with multiplicative noise and successive packet dropouts , 2016, Neurocomputing.

[13]  Xin Yu,et al.  State-Feedback Control of High-Order Stochastic Nonlinear Systems with SiISS Inverse Dynamics , 2011, IEEE Transactions on Automatic Control.

[14]  Derui Ding,et al.  Event-triggered consensus control for discrete-time stochastic multi-agent systems: The input-to-state stability in probability , 2015, Autom..

[15]  Yu Kang,et al.  Stochastic input-to-state stability of switched stochastic nonlinear systems , 2012, Autom..

[16]  Fuad E. Alsaadi,et al.  Robust H∞ filtering for discrete nonlinear delayed stochastic systems with missing measurements and randomly occurring nonlinearities , 2015, Int. J. Gen. Syst..

[17]  Fuad E. Alsaadi,et al.  Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertainties , 2016, Neurocomputing.

[18]  Fuad E. Alsaadi,et al.  Nonfragile $H_{\infty}$ Fuzzy Filtering With Randomly Occurring Gain Variations and Channel Fadings , 2016, IEEE Transactions on Fuzzy Systems.

[19]  Hongli Dong,et al.  Distributed filtering in sensor networks with randomly occurring saturations and successive packet dropouts , 2014 .

[20]  Fuad E. Alsaadi,et al.  Robust ${\mathscr {H}}_{\infty }$ Filtering for a Class of Two-Dimensional Uncertain Fuzzy Systems With Randomly Occurring Mixed Delays , 2017, IEEE Transactions on Fuzzy Systems.

[21]  Huijun Gao,et al.  On H-infinity Estimation of Randomly Occurring Faults for A Class of Nonlinear Time-Varying Systems With Fading Channels , 2016, IEEE Transactions on Automatic Control.

[22]  Jianbin Qiu,et al.  Asynchronous Output-Feedback Control of Networked Nonlinear Systems With Multiple Packet Dropouts: T–S Fuzzy Affine Model-Based Approach , 2011, IEEE Transactions on Fuzzy Systems.

[23]  Guang-Hong Yang,et al.  Dynamic Output Feedback Control Synthesis for Continuous-Time T–S Fuzzy Systems via a Switched Fuzzy Control Scheme , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[24]  W. Zhang,et al.  State Feedback H_∞Control for a Class of Nonlinear Stochastic Systems , 2009 .

[25]  Zidong Wang,et al.  H∞ filtering with randomly occurring sensor saturations and missing measurements , 2012, Autom..

[26]  WangZidong,et al.  Event-triggered consensus control for discrete-time stochastic multi-agent systems , 2015 .

[27]  Li Sheng,et al.  Relationship Between Nash Equilibrium Strategies and $H_{2}/H_{\infty}$ Control of Stochastic Markov Jump Systems With Multiplicative Noise , 2014, IEEE Transactions on Automatic Control.

[28]  Li Sheng,et al.  Robust H∞ control for T-S fuzzy systems subject to missing measurements with uncertain missing probabilities , 2016, Neurocomputing.

[29]  Alexander G. Loukianov,et al.  Joint state and parameter estimation for uncertain stochastic nonlinear polynomial systems , 2013, Int. J. Syst. Sci..

[30]  Arben Çela,et al.  Trading quantization precision for update rates for systems with limited communication in the uplink channel , 2010, Autom..

[31]  Donghua Zhou,et al.  Event-Based Distributed Filtering With Stochastic Measurement Fading , 2015, IEEE Transactions on Industrial Informatics.

[32]  Fuad E. Alsaadi,et al.  Non-fragile state estimation for discrete Markovian jumping neural networks , 2016, Neurocomputing.

[33]  Yi Shen,et al.  The almost sure asymptotic stability and pth moment asymptotic stability of nonlinear stochastic delay differential systems with polynomial growth , 2012 .

[34]  Jianbin Qiu,et al.  Observer-Based Piecewise Affine Output Feedback Controller Synthesis of Continuous-Time T–S Fuzzy Affine Dynamic Systems Using Quantized Measurements , 2012, IEEE Transactions on Fuzzy Systems.

[35]  Dong Yue,et al.  Quantized output feedback control for networked control systems , 2008, Inf. Sci..

[36]  Lihua Xie,et al.  Kalman filtering over unreliable communication networks with bounded Markovian packet dropouts , 2009 .

[37]  Fuad E. Alsaadi,et al.  Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple missing measurements , 2015, Int. J. Gen. Syst..

[38]  Zidong Wang,et al.  Quantized $H_{\infty }$ Control for Nonlinear Stochastic Time-Delay Systems With Missing Measurements , 2012, IEEE Transactions on Automatic Control.

[39]  Alejandro J. Rojas,et al.  Signal-to-Noise Ratio Limited Output Feedback Control Subject to Channel Input Quantization , 2015, IEEE Transactions on Automatic Control.

[40]  James Lam,et al.  $H_{\bm \infty}$ Fuzzy Filtering of Nonlinear Systems With Intermittent Measurements , 2009, IEEE Transactions on Fuzzy Systems.

[41]  Uri Shaked,et al.  H/sub /spl infin// control for discrete-time nonlinear stochastic systems , 2006, IEEE Transactions on Automatic Control.

[42]  Fuad E. Alsaadi,et al.  Event-triggered robust distributed state estimation for sensor networks with state-dependent noises , 2015, Int. J. Gen. Syst..

[43]  Sirish L. Shah,et al.  Optimal H2 filtering with random sensor delay, multiple packet dropout and uncertain observations , 2007, Int. J. Control.

[44]  Lihua Xie,et al.  The sector bound approach to quantized feedback control , 2005, IEEE Transactions on Automatic Control.