Nussbaum gain adaptive fuzzy control for switched nonlinear systems with predefined output and full time‐varying states constraints

Abstract

In this paper, the problem of adaptive fuzzy tracking control for a class of uncertain switched nonlinear systems with unknown control direction is studied. Aiming at the problem, an adaptive control scheme with Nussbaum gain technology is constructed by using the average dwell time (ADT) method and the backstepping method to overcome the unknown control direction, and time‐varying asymmetric barrier Lyapunov functions (ABLFs) are adopted to ensure the full‐state constraints satisfaction. The proposed control scheme guarantees that all closed‐loop signals remain bounded under a class of switching signals with ADT, while the output tracking error converges to a small neighborhood of the zero. An important innovation of this design method is that the unknown control direction, asymmetric time‐varying full state constraints, and predefined time‐varying output requirements are simultaneously considered in uncertain switched nonlinear systems for the first time. We set a moment in advance, and make the systems comply with the constraint conditions before running the moment by the shift function nested in the first time‐varying ABLF. Finally, a simulation example verifies the effectiveness of the proposed scheme.

Adaptive fuzzy finite‐time prescribed performance control for uncertain nonlinear systems with actuator saturation and unmodeled dynamics

“…To eliminate the above unknown factors and obtain stable systems, the excellent approximation techniques, such as fuzzy logic systems (FLSs) and neural networks (NNs), are emphatic tools that have been extensively applied in many real-world systems. In general, backstepping-based adaptive fuzzy (or neural) control strategies for unknown nonlinear systems have been dramatically adopted in [4][5][6][7]. But it is laborious to the application of the backstepping technology since the computational complexity obstacle arose from the recursive partial differentiation trol (CFC) method, was mentioned in [11] and [12].…”