Adaptive Decentralized Sliding Mode Neural Network Control of a Class of Nonlinear Interconnected Systems
نویسندگان
چکیده
In this paper, a completely Decentralized control method (DNNS) for a class of large-scale interconnected systems is developed based on the combination of the sliding mode control with the Neural Network (NN). The standard sliding mode control (SMC) can be used; however, for systems with unknown interconnection terms and in the presence of large uncertainties, the result controller is with higher switching gain and introduces higher amplitude of chattering, or may completely diverge. In this study, the NN is used to predict the unknown interconnection terms and the unknown part of model for each subsystem, and hence it enables a lower switching gain to be used. The stability is shown by the Lyapunov theory and the control action used did not exhibit any chattering behaviour. The effectiveness of the designed DNNS is illustrated in simulations by a comparison with standard SMC technique.
منابع مشابه
Hybrid Adaptive Neural Network AUV controller design with Sliding Mode Robust Term
This work addresses an autonomous underwater vehicle (AUV) for applying nonlinear control which is capable of disturbance rejection via intelligent estimation of uncertainties. Adaptive radial basis function neural network (RBF NN) controller is proposed to approximate unknown nonlinear dynamics. The problem of designing an adaptive RBF NN controller was augmented with sliding mode robust term ...
متن کاملDistributed Fuzzy Adaptive Sliding Mode Formation for Nonlinear Multi-quadrotor Systems
This paper suggests a decentralized adaptive sliding mode formation procedure for affine nonlinear multi-quadrotor under a fixed directed topology wherever the followers are conquered by dynamical uncertainties. Compared with the previous studies which primarily concentrated on linear single-input single-output (SISO) agents or nonlinear agents with constant control gain, the proposed method is...
متن کاملIndirect Adaptive Interval Type-2 Fuzzy PI Sliding Mode Control for a Class of Uncertain Nonlinear Systems
Controller design remains an elusive and challenging problem foruncertain nonlinear dynamics. Interval type-2 fuzzy logic systems (IT2FLS) incomparison with type-1 fuzzy logic systems claim to effectively handle systemuncertainties especially in the presence of disturbances and noises, but lack aformal mechanism to guarantee performance. In contrast, adaptive sliding modecontrol (ASMC) provides...
متن کاملDIRECT ADAPTIVE FUZZY PI SLIDING MODE CONTROL OF SYSTEMS WITH UNKNOWN BUT BOUNDED DISTURBANCES
An asymptotically stable direct adaptive fuzzy PI sliding modecontroller is proposed for a class of nonlinear uncertain systems. In contrast toother existing approaches of handling disturbances, the proposed approachdoes not require this bound to be known, only requiring that it exists.Moreover, a PI control structure is used to attenuate chattering. The approachis applied to stabilize an open-...
متن کاملDecentralized Model Reference Adaptive Control of Large Scale Interconnected Systems with Time-Delays in States and Inputs
This paper investigates the problem of decentralized model reference adaptive control (MRAC) for a class of large scale systems with time varying delays in interconnected terms and state and input delays. The upper bounds of the interconnection terms are considered to be unknown. Time varying delays in the nonlinear interconnection terms are bounded and nonnegative continuous functions and thei...
متن کامل