Summary
This paper focuses on the problem of finite‐time
H∞ control for one family of discrete‐time uncertain singular Markovian jump systems with sensor fault and randomly occurring nonlinearities through a sliding mode approach. The failure of sensor is described as a general and practical continuous fault model. Nonlinear disturbance satisfies the Lipschitz condition and occurs in a probabilistic way. Firstly, based on the state estimator, the discrete‐time close‐loop error system can be constructed and sufficient criteria are provided to guarantee the augment system is sliding mode finite‐time boundedness and sliding mode
H∞ finite‐time boundedness. The sliding mode control law is synthesized to guarantee the reachability of the sliding surface in a short time interval, and the gain matrices of state feedback controller and state estimator are achieved by solving a feasibility problem in terms of linear matrix inequalities through a decoupling technique. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.
SummaryThis technical note is concerned with the memory sliding mode stabilization for semi‐Markov jump nonlinear systems with input subject to mismatch quantization. Firstly, a sliding mode surface is constructed such that the sliding motion is stochastic admission in terms of linear matrix inequalities by a singular system strategy. A sufficient condition for the existence of linear memory sliding surfaces is given. Then, the memory sliding‐mode quantized controller designing problem is considered by the designed sliding surface function. Finally, a numerical example illustrates the effectiveness of the proposed method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.