In this study, a robust intelligent backstepping tracking control (RIBTC) system combined with adaptive output recurrent cerebellar model articulation control (AORCMAC) and ∞ H control technique is proposed for wheeled inverted pendulums (WIPs) real-time control with exact system dynamics unknown. Moreover, a robust ∞ H controller is designed to attenuate the effect of the residual approximatio...

In this paper, a class of uncertain chaotic systems preceded by unknown backlash nonlinearity is investigated. Combining backstepping technique with fuzzy neural network identifying, an adaptive backstepping fuzzy neural controller (ABFNC) for uncertain chaotic systems with unknown backlash is proposed. The proposed ABFNC system is comprised of a fuzzy neural network identifier (FNNI) and a rob...

In this paper, a novel adaptive fuzzy backstepping output feedback control scheme is proposed for a class of single-input single-output (SISO) uncertain nonlinear systems without measurements of states. Fuzzy logic systems (FLS) are used to tackle unknown nonlinear functions, and the adaptive fuzzy output feedback controller is constructed by combining fuzzy filters observer design and the dyna...

In this paper, a backstepping sampled data control method is developed for flexible robotic manipulator whose internal dynamic completely unknown. To address the uncertainties, fuzzy logical system (FLS) considered. Moreover, considering limited network bandwidth, designed controller and adaptive laws only contain with fixed period. By invoking Lyapunov stability theory, all signals of are semi...

This paper presents a novel approach to the design of road adaptive active suspensions via a combination of linear parameter-varying control and nonlinear backstepping techniques. Two levels of adaptation are considered: the lower level control design shapes the nonlinear characteristics of the vehicle suspension as a function road conditions, while the higher level design involves adaptive swi...

In this paper, an adaptive fuzzy robust output feedback control approach is proposed for a class of single input single output (SISO) strict-feedback nonlinear systems without measurements of states. The nonlinear systems addressed in this paper are assumed to possess unstructured uncertainties, unmodeled dynamics and dynamic disturbances, where the unstructured uncertainties are not linearly p...

In this paper, the robust adaptive control scheme based on adaptive backstepping design is used to control the autonomous second order strict feedback form such as the Lorenz Chaotic system. The design procedure is recursive; at the i step, the i subsystem is stabilized with respect to a Lyapunov function Vi by the design of a stabilizing function αi, tuning function τi, and the update law ̇̂ θi ...

Backstepping Control Design and Its Applications to Vehicle Lateral Control in Automated Highway Systems by Chieh Chen Doctor of Philosophy in Engineering-Mechanical Engineering University of California at Berkeley Professor Masayoshi Tomizuka, Chair In this dissertation the e ort is to explore new aspects of recursive backstepping design methodology from both theoretical and application point ...

Compliant actuators are significant for safe physical human–robot interaction. Series elastic actuator (SEA) is the most popular type of compliant actuators, which possesses several attractive features, such as low output impedance, back drivability, shock tolerance, smooth force transmission, and energy efficiency. This brief focuses on the adaptive command-filtered backstepping control (CFBC)...

In this paper, an adaptive fuzzy backstepping output feedback control approach is proposed for a class of strict-feedback stochastic nonlinear systems with time delays and immeasurable states. Fuzzy logic systems are firstly utilized to approximate the unknown nonlinear functions, and then a fuzzy state observer is designed to estimate the immeasurable states. By combining the fuzzy adaptive co...