However, feedback linearization control does not guarantee robustness in the presence of modeling errors. In [3], ∞ H control and sliding mode control was proposed. ∞ H control is a computation expensive method that presents good disturbance attenuation performance. In [4], sliding mode control and PID controller was discussed. In [5], the PID controller was discussed. The PID controller is a s...

In this paper, a robust adaptive type-2 fuzzy higher order sliding mode controller is designed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances. In Higher Order Sliding Mode Control (HOSMC),the chattering phenomena of the control effort is reduced, by using Super Twisting algorithm. Adaptive interval ...

It is well known that sliding mode control algorithm can give good transient performance and system robustness. However, due to the sensitivity of the sliding mode controller before reaching the sliding surface and the presence of chattering may introduce problems to motion tracking control of robot manipulators. In this paper, a proposed technique to adaptively tune the sliding mode controller...

This paper presents the integrated fault-tolerant control scheme for nonlinear system with multi-fault. After the unknown faults are estimated online by using the fuzzy credit assignment CMAC (FCACMAC), the effective control law reconfiguration strategy based on the sliding mode control technique is used to compensate for the effect of multifault. For multiple faults scenarios and three-tank sy...

The paper presents some experimental results of a real-time implementation of discrete sliding mode control combined with a fuzzy-logic damper block. The hybrid real-time algorithm developed is aimed at applications to discrete systems. The sliding mode part of the solution is based on system input and output measurements. The algorithm combines an integral action, a nonlinear output feedback, ...

This paper deals with the synthesis of adaptive type-2 fuzzy logic controller for a class of single-input single-output system. Due to its ability in serving in universal approximation, the type-2 fuzzy logic system is used to approximate the unknown system dynamics, which will be adjusted according to the on-line adaptation laws deduced from the stability analysis. To ensure the closed loop sy...

This paper deals with the design of adaptive fuzzy sliding-mode controllers for the T-S fuzzy model based on the Lyapunov function. It is shown that the Lyapunov function can be used to establish fuzzy sliding surfaces by solving a set of linear matrix inequalities (LMIs). The design of the fuzzy sliding surfaces and the adaptive fuzzy sliding-mode controllers is proposed. The adaptive mechanis...

Anti-lock braking system is designed to optimize braking procedure while maintaining automobile steerability through controlling wheels slip. However, due to nonlinearity and uncertainty of ABS structure, designing the controller for wheel slip encounters so many problems which necessitate a robust control system. In this paper, a hybrid controller is proposed for ABS to address this issue. The...

Combination of sliding-mode control and an AI block based on fuzzy logic is introduced. This hybrid control structure provides very good control performance and robustness of control loops. Based on the Lyapunov’s direct method, the sliding mode control is designed to guarantee the stability and good tracking performance of controlled systems. The fuzzy logic block is designed to mimic the beha...

This paper is concerned with the problems of stability analysis and stabilization control design for a class of discrete-time T-S fuzzy systems with state-delay for multi-input and multi-output. The nonlinear fuzzy controller helps to overcome the problems of the ill defined model of the systems, which are creating the undesirable performance. . Here sliding surface is being designed for error ...