This paper deals with the problem of adaptive tracking control for a class switched uncertain nonlinear systems under arbitrary switching. First, combing fuzzy approximation and dynamic surface (DSC), state-feedback scheme is proposed based on directly tuning estimation switching ideal weight vectors in logic systems. Switched laws first-order filters DSC are designed at each step backstepping to reduce conservativeness caused by adoption common subsystem. By constructing novel Lyapunov...

In this paper, the problem of adaptive fuzzy tracking control is investigated for a class switched nonlinear systems. A new output feedback method presented where changes plant can be considered explicitly. Mode-dependent logic systems are employed to approximate switching functions in system. To reduce conservativeness caused by adoption common law all subsystems, optimal weight vectors directly estimated via laws at each step backstepping. However, difficulties how ensure estimation...

This paper investigates the problem of adaptive fault-tolerant control for a class nonlinear parametric strict-feedback systems with multiple unknown directions. Multiple sensor faults are first considered such that all real state variables unavailable. Then, constructive design method is set up by exploiting parameter separation and regrouping technique. To circumvent main obstacle caused coupling effects directions faults, region-dependent segmentation analysis proposed. It proven...

This paper investigates the adaptive H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> static output feedback (SOF) control problem for continuous-time linear systems with stochastic sensor failures. A multi-Markovian variable is introduced to denote failure scaling factors each sensor. Different from existing results, parameters are stochastically jumping and their bounds of unknown. An reliable SOF method proposed, where controller...

This study is concerned with the reliable and optimal control problems of data‐driven cyber‐physical systems (CPSs) against a class actuator attacks. Consider an unknown continuous‐time linear physical system external disturbance, it assumed that input signals transmitted via network layers are vulnerable to cyber By introducing new integral sliding‐mode function utilising available data acquired by off‐policy reinforcement learning algorithm, novel data‐based adaptive strategy presented....

This paper is concerned with the problem of adaptive fuzzy tracking control for a class switched uncertain nonlinear systems. The unknown functions are approximated by using logic systems, and backstepping technique applied to convex combination subsystems. To ensure continuousness Lyapunov function at switching instants, common (CLF) adopted proposed CLF permits parameter laws. Besides, two classes laws proposed, one designing law. Then, obtained help combination. Based on laws, new...

This paper investigates the problem of fuzzy-approximation-based adaptive fault-tolerant (FT) tracking control for uncertain nonlinear time-varying delay systems with nonaffine faults. Compared existing results, proposed scheme avoids use Lyapunov-Krasovskii functional, which relaxes restriction on derivative unknown (τ̊(t) <; 1). By utilizing finite covering lemma and fuzzy logic (FLSs), considered system is transformed into novel switched known constant delays. In addition, faults make...

This paper investigates the problem of adaptive fuzzy tracking control for a class switched uncertain nonlinear systems under asynchronous switching. Inspired by discretized Lyapunov function technique, time-schedule functions (TSLFs) is first proposed to analyze stability Then, based on TSLF, novel observer and laws with gain design parameters are deal Moreover, command filter virtual as input avoid "the explosion complexity" error jumps, which make analysis difficult. It shown that...

This paper is concerned with the switched decentralized adaptive control design problem for interconnected nonlinear systems under arbitrary switching, where actuator failures may occur infinite times and directions are allowed to be unknown. By introducing a Nussbaum-type function an integrable auxiliary signal, scheme developed deal potentially of unknown directions. The basic idea different parameter update laws distinct subsystems. It proved that state variables resulting closed-loop...