DECENTRALIZED VARIABLE-STRUCTURE MODEL-REFERENCE ADAPTIVE-CONTROL OF LINEAR TIME-VARYING LARGE-SCALE SYSTEMS WITH BOUNDED DISTURBANCES

The problem of model-reference control is considered for a large-scale variable-structure adaptive control system in the presence of interconnected terms, system parameter variations and external disturbances. Based on the technique of parameter estimations and the theory of the variable-structure systems, this paper presents a new and feasible design algorithm to synthesize a decentralized variable-structure adaptive controller which can easily tackle the model-reference control problem of linear time-varying large-scale systems subjected to interconnected terms, system parameter variations and bounded disturbances. In contrast with previous results, the restrictive condition that the exact value of the parameter about the input gain must be known can be relaxed. A series of computer simulations are also included to illustrate the proposed design algorithm.