This paper presents a new approach to the design of a composite sliding mode control for a class of chaotic systems with uncertainties. A significant feature of this control scheme is the incorporation of a new complementary sliding variable to the conventional sliding variable in order that a high-performance controller can be obtained. It has been shown that the guaranteed steady-state error ...

This paper incorporates the techniques of design of an optimal neural network controller for load frequency control(LFC) to regulate the power output as well as the system frequency of a two-area power system by controlling the speed of the generator by means of controlling the steam flow. The controller is obtained using a combination of genetic algorithm, and neural network. The aim of the co...

this paper focuses on the non-fragile guaranteed cost control problem for a class of t-s fuzzy time-varying delay systems with local bilinear models. the objective is to design a non-fragile guaranteed cost state feedback controller via the parallel distributed compensation (pdc) approach such that the closed-loop system is delay-dependent asymptotically stable and the closed-loop performance i...

The Paper is based on “Design and implementation of TMS320F28035 Digital Signal Processor (DSP) based digital controller for 2 kW switch mode power supply (SMPS)”.In the earlier research has implemented the analog controller, In the analog implementation of power controller comes with inherent disadvantage of aging, lack of flexibility, complexity in design etc. those are successfully overcomes...

This paper presents a new intelligent method to control rehabilitation robots by mainly considering reactions of patient instead of doing a repetitive preprogrammed movement. It generates a general reference trajectory based on different reactions of patient during therapy. Three main reactions has been identified and included in reference trajectory: small variations, force shocks in a single ...