Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach

By Hongyi Li, Huijun Gao, Peng Shi, Xudong Zhao. at - Automatisierungstechnik, 2014

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Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones (2016, background): “, the solution is everywhere continuous, which is a standard assumption in the switched system literature [18]–[28].”
Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation (2015, background): “xn−1 and xn in (1) are not available for feedback, therefore, a state observer should be established to estimate the unmeasured states [37], [38], and then fuzzy adaptive output feedback control scheme is investigated based on the designed state observer.”
Observer-based adaptive sliding mode control for nonlinear Markovian jump systems (2016, background): “In Li et al. (2014), the authors proposed a novel augmented sliding mode observer scheme in solving the stabilization problem for a type ofMarkovian stochastic jump systems.”
Reliable sliding mode finite‐time control for discrete‐time singular Markovian jump systems with sensor fault and randomly occurring nonlinearities (2018, background): “From (22), we can get (21b) and (21c) are the sufficient conditions of (13a).”
Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones (2015, methodology): “Therefore, the adaptive output feedback control design based on state observers should be developed [30].”