Abstract—This paper presents a robust control algorithm based on adaptive proportional-integral-derivative (PID) controller and sliding mode control (SMC) approach. In this paper, the drawbacks of SMC are compensated by adopting an adaptive PID continuous second order sliding mode control approach (APID2SMC) with PID sliding surface. The stability of the system is guaranteed in the sense of Lya...

In this paper, a new approach to the super-twisting sliding mode control of uncertain systems is proposed. The idea behind this control scheme is to utilize an adaptive sliding surface function, in which the slope of the surface is updated on-line using a simple single input-single output fuzzy logic inference system so that the sliding surface is rotated in such a direction that the tracking p...

Abstract: In this study, the synchronization of the outputs for the uncertain chaotic systems with different-orders is presented. An adaptive fuzzy system has been used to approximate the uncertain nonlinear terms. The adaptive fuzzy control strategy is estimated to guarantee output-synchronization of the master-slave chaotic systems based on sliding control theorem. By using a dynamic compensa...

In this paper the problem of sliding mode control (SMC) for a class of uncertain (TS) fuzzy descriptor systems with time-varying delay is studied. An integral-type sliding function is proposed and a delay-dependent criterion is developed in terms of linear matrix inequality (LMI), which ensures the sliding mode dynamics to be robustly admissible with generalized H2 disturbance rejection level. ...

This paper focuses on the development of a robust fuzzy sliding-mode scheme for controlling a vehicle motion system by continuously adjusting the brake torque, Fuzzy logic known for its properties of universal approximator and sliding mode control for its robustness in the presence of parameter variations and the disturbances are employed to control the wheel slip rate in emergency braking mane...

Under-actuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has recently been investigated for hierarchical sliding mode control since these systems require complex computations. However, the instability phenomena possibly occur especially for long-term operations. In this paper, a new design approach of an adaptive fuzzy hier...

Adaptive neuro-fuzzy inference systems exhibit both the numeric power of neural networks and verbal power of fuzzy inference systems. Particularly in control applications, the prime difficulty in selecting the parameters of such systems stems from the unavailability of the desired control inputs. In this paper, a novel approach is presented for the establishment of a sliding mode in the plant u...