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In this paper analytical input and output relation for Gain-Scheduled fuzzy PI controllers that use Zadeh AND operator with symmetric trapezoidal input fuzzy sets and skewed trapezoidal input fuzzy sets are derived. Overall input space division for symmetric and skewed trapezoidal input fuzzy sets with three membership functions in each input are derived for gain scheduled Fuzzy PI controllers. A...
The development of fuzzy PID controllers need the construction of a three-dimensional rule base, which makes its design very complicated in terms of rule base structure and implementation of inferencing. Due to these disadvantages, design of a two input fuzzy PID controller structures become an interest which is a combination of two term fuzzy logic controllers i.e. fuzzy PI and fuzzy PD controllers...
This paper discusses a new method to describe movements by fuzzy predictors and to design new open loop fuzzy controllers, for multilinked vehicles or mobile robots, using constant step approximators to model complex maneuvers with delays that vary with the robot's configuration. The “Wang & Mendel” technique for automatic modeling is tested and an ad hoc heuristic is proposed to fulfils the deficiencies...
This paper considers the problem of Robust passive control for uncertain discrete-time Fuzzy systems with time-varying delays via filtering design investigated The uncertainties we investigate in this paper are norm-bounded.The problem is the design of a stable filter and a prescribed passive performance of the filtering error system for all admissible uncertainties. Based on the Lyapunov-Krasovskii...
This paper discusses the stabilization problem for nonlinear systems with multiple time-varying delays through Takagi-Sugeno(T-S) fuzzy model approach. At first, delays-dependent criterion for fuzzy system with parameter uncertainties is proposed to design the Hinfin control. Based on the Lyapunov-Krasovskii functional approach, we gain the theory for fuzzy system without parameter uncertainties in...
Wired and wireless network delays highly degrade the control performance of hybrid networked control systems(HNCS). In order to effectively restrain impact of network delay for the HNCS, a novel approach is proposed that new Smith predictor combined with fuzzy radial basis function neural network (FRBFNN), and comes true delay compensations. Because new Smith predictor does not include network delay...
This paper presents a Takagi-Sugeno (T-S) fuzzy model-based regulator for a class of discrete time-delay affine uncertain systems. Not only multiple state/input delays but also the parametric uncertainty are considered simultaneously in this paper. First, the fuzzy output regulator is proposed by introducing a memoryless fuzzy observer and a fuzzy integral compensator. Next, the asymptotic output...
This paper addresses the problem of model reference adaptive fuzzy sliding mode controller (MRAFSMC) for uncertain time-delay systems with input containing sector nonlinearities and dead-zone. The model reference tracking control design method and the adaptive fuzzy sliding mode control technique are combined in the design of the MRAFSMC. By the Lyapunov stability theorem, it is shown that the proposed...
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