On designing of sliding-mode control for stochastic jump systems
By Peng Shi, Yuanqing Xia, Guoping Liu, David Rees. IEEE Transactions on Automatic Control, 2006
663 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/47db103ef539d7ee8dbe707cce4daa410103e8dd
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In Control and Systems Engineering
Citations in the corpus
- Exponential synchronization of complex networks with Markovian jump and mixed delays (2008, neutral): “[13, 14, 29, 36] and the references therein.”
- Observer-Based Adaptive Fuzzy Backstepping Control for a Class of Stochastic Nonlinear Strict-Feedback Systems (2011, background): “Their existence is a source of instability of the control systems, thus, the investigations on stochastic systems have received considerable attention in recent years [21].”
- Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics (2014, methodology): “Based on the Itô stochastic differential equation, many stochastic nonlinear system control results and the methods, such as the sliding mode control [1], [2], Lyapunov function approach [3], and Takagi– Sugeno fuzzy control [4]–[7], have been reported in the literature.”
- On stability and stabilisation of continuoustime singular markovian switching systems (2008, neutral): “For more details on these results we refer the reader to [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] and the references therein, where different approaches have been used.”
- Reliable mixed passive and ℋ∞ filtering for semi‐Markov jump systems with randomly occurring uncertainties and sensor failures (2015, background): “Definition 1 ([42]) The SMJDS (1)–(4) with !.”
- Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones (2015, background): “Deng and Krstic [2] solved the output-feedback stabilization problem of strict-feedback stochastic nonlinear systems; Shi et al. developed backstepping control design approaches for nonlinear stochastic systems with Marko-Manuscript vian systems [3], [4].”