In this paper, the fuzzy adaptive control problem for a class of switched stochastic nonlinear systems in pure feedback form with output constraint is addressed. By proposing mapping, constrained system transformed into an unconstrained one, equivalent objective. All signals closed-loop are proved to be semiglobally uniformly ultimately bounded. Meanwhile, satisfied and tracking error converges arbitrarily small neighborhood zero. Finally, applicability proposed controller verified by...

A position control of a class servomotors is addressed in this paper via novel adaptive fuzzy PI sliding mode control. The premise and the consequence parts rules are tuned with schemes. To attenuate chattering effectively, discontinuous approximated by an structure. Moreover, bound term assumed to be unknown, mechanism used estimate bound. All laws derived Lyapunov synthesis method, thereby guaranteeing closed-loop stability. proposed approach has added advantage that, for external...

Design of controllers for uncertain systems is inherently paradoxical. Adaptive control approaches claim to adapt system parameters against uncertainties, but only if these uncertainties change slowly enough. Alternatively, robust methodologies ensure stability remain within known bounds. This while, in reality, disturbances and faithfully uncertain, i.e., may be both fast large. In this paper, a PI-adaptive fuzzy architecture class nonlinear proposed that aims provide added robustness the...

Abstract A sensor fault estimation method is proposed for a general class of uncertain nonlinear systems. Taking the faults as auxiliary states, an augmented descriptor system constructed. For this system, adaptive fuzzy proportional‐derivative sliding mode observer designed to estimate and simultaneously. Adaptive systems based on universal approximation theorem are used approximate nonlinearities. Thus, nonlinearities can be unknown Lipschitz assumption utterly relieved. To relax...

An adaptive filtered backstepping control (FBC) is proposed for cooperative tracking of uncertain nonaffine nonlinear multiagent systems preceded by input nonlinearities with unknown gain sign. The can be backlash-like hysteresis and dead-zone. gains are functions To cope neural networks based on universal approximation theorem utilized. weights derived appropriate rules. Using the FBC desirable steady-state transient response achieved. Based Lyapunov synthesis approach all laws extracted....

A stable direct adaptive fuzzy PI sliding mode controller for a class of nonlinear uncertain systems is investigated. The proposed method robust in the presence uncertainties and bounded external disturbances. Considering other existing approaches handling disturbances, approach does not need bound to be known; only requiring that it exists. Moreover, control structure used attenuating chattering problem. applied system as well chaotic via significant Analysis simulations reveals...

The position control of a class servomotors is addressed in this paper via novel adaptive fuzzy PI sliding mode control. premise and the consequence parts rules are tuned with schemes. To attenuate chattering effectively discontinuous approximated by an structure. Moreover, bound term assumed unknown mechanism used to estimate bound. All laws derived Lyapunov synthesis method, thereby guaranteeing closed-loop stability. proposed approach has added advantage that for external disturbances it...

An observer-based adaptive fuzzy model following controller is proposed for a class of MIMO nonlinear uncertain systems to cope with time-delay, uncertainty in plant structure and disturbances. Based on universal approximation theorem the unknown functions are approximated by systems, where premise consequent parts rules tuned schemes. To have more robustness, at same time alleviate chattering, an discontinuous suggested. Moreover, availability states measurement not required observer used...

Induction motors are widely adopted and can be found in many industrial plants. Early detection diagnosis of faults for them great importance. In this paper, the modelbased approach is used to detect incipient as early possible ensure asymptotic convergence. The proposed method changes stator rotor resistances which caused by winding short-circuit fault broken bars, respectively. To cope with nonlinearities at same time load disturbances dynamic nonlinear unknown input observer (DNUIO) used....

An asymptotically stable direct adaptive fuzzy PI sliding mode controller is proposed for a class of nonlinear uncertain systems. In contrast to other existing approaches handling disturbances, the approach does not require this bound be known, only requiring that it exists. Moreover, control structure used attenuate chattering. The applied stabilize an open-loop unstable system as well Duffing forced-oscillation chaotic amid significant disturbances. Analysis simulations reveals...

A robust PI adaptive fuzzy controller for a class of uncertain nonlinear systems is investigated. The proposed method in the presence uncertainties and bounded external disturbances. To cope with lack system structure signal uncertainty control used. Furthermore, PI-type introduced to disturbances, which also provides robustness large Asymptotic stability shown based on Lyapunov approach. Application an inverted pendulum demonstrates effectiveness