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Guidelines for design of input perturbations for identification of multivariable systems are given.
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Control of nonlinear multivariable systems is very challenging in the area of systems and control.
In this paper, a systematic output-sliding control design methodology for nonlinear multivariable systems is presented.
In this paper a general method to control highly interactive multivariable systems is proposed.
In this paper a new interaction measure for stable multivariable systems is introduced.
In this contribution a new procedure for input design for identification of linear multivariable systems is proposed.
The adaptive control algorithm of nonlinear multivariable systems is adopted to coordinate these three policies of optimisation.
A new method for robust fixed-order H∞ controller design by convex optimization for multivariable systems is investigated.
The freedom provided by eigenvalue assignment of multivariable systems is applied to optimize the new index using genetic algorithms.
A new approach to control structure analysis and design for nonlinear multivariable systems is proposed in this paper.
Unit vector approach, which is a sliding mode control structure for multivariable systems, is used and a robust adaptive nonlinear controller is designed.
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