Observer-based fuzzy control design with adaptation to delay parameter for time-delay systems
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Cited by (24)
Delay-dependent exponential stabilization of nonlinear fuzzy impulsive systems with time-varying delay
2016, NeurocomputingCitation Excerpt :One of our future work is to extend the current results to the network-based environment. As in [54], using these fuzzy sets we can formulate the following T–S fuzzy model with impulse to represent the system (35). The results in this paper is delay-dependent.
Robust tracking observer-based adaptive fuzzy control design for uncertain nonlinear MIMO systems with time delayed states
2015, Information SciencesCitation Excerpt :Time-delays in system states may degrade the performance of the closed-loop system and even lead to instability of the system. Therefore, a remarkable research activity has been devoted to observer-based or output feedback fuzzy adaptive control for time-delayed nonlinear MIMO systems [19,30,31,43,48]. The rolling cart system with multiple time delayed state uncertainties, and external disturbances is fully analyzed by Yu et al. [48] using the observer-based adaptive tracking control scheme with fuzzy systems and variable structure technique.
A new decentralized fuzzy model reference adaptive controller for a class of large-scale nonaffine nonlinear systems
2009, European Journal of ControlA decoupled multiple model approach for state estimation of nonlinear systems subject to delayed measurements
2007, IFAC Proceedings Volumes (IFAC-PapersOnline)Adaptive Neural Network-Based Filter Design for Nonlinear Systems with Multiple Constraints
2021, IEEE Transactions on Neural Networks and Learning SystemsDistributed fuzzy adaptive consensus states tracking controller for a class of nonlinear non-affine multi-agent systems with dynamic uncertainties
2018, International Journal of Knowledge-Based and Intelligent Engineering Systems
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The author is on leave from the Department of Automation, Tsinghua University, Beijing, China.