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Multimodel analysis and control of multivariable systems
2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002The use of the multimodel approach in the modeling, analysis and control of nonlinear complex and/or ill-defined systems was advocated by many researchers. This approach supposes the definition of a set of local models valid in a given region or domain.
Tarek Raïssi +3 more
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Robust Multivariable Control of an Engine-Dynamometer System
Dynamic Systems and Control: Volume 1 — Control Theory/Methodology; Robust Control; Applied Nonlinear Control Systems; QFT Designs in Industrial, Government, Academic Settings; Robot Control; Impedance Planning for Robotics; Haptic Interfaces for Virtual Environment/Teleoperator Systems; Intelligent Control Systems; Intelligent Process Control; Neural Networks, 1994Abstract A robust multivariable feedback control strategy is applied to an engine-dynamometer system to achieve independent engine torque and speed control. The multivariable engine-dynamometer model is developed using a spectral estimation technique in which the system nonlinearities are captured by an interval transfer function. The
Byron J. Bunker +2 more
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Robust Controllers for Uncertain Linear Multivariable Systems
IFAC Proceedings Volumes, 1984Three distinct problems in the design of stabilizing controllers for imprecisely known linear multivariable systems are considered. Suppose that P(s) is a true plant transfer matrix and that P(s) is nomially modeled by \(P_ 0(s)\). The first problem is concerned with additive and multiplicative perturbations.
M. Vidyasagar, H. Kimura
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Multimodels adaptive controller for multivariable systems
The 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications, 2003. Proceedings., 2004Adaptive controller based on a multimodel technique is proposed in this paper. Optimal parameters are calculated offline for each zone in the grid plane of a multiunits system and placed in memory storage. The controller tracks the operating conditions and updates the optimal parameters as conditions change.
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Multivariable control system synthesis
Transactions of the American Institute of Electrical Engineers, Part II: Applications and Industry, 1958An important problem in the field of multivariable control systems is the design of suitable feedback and series compensation elements which, when added to a given system, result in an over-all system with improved characteristics. This improvement may apply to the behavior of the controlled variables, to the disturbance response of the system, or to ...
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On the compensation of multivariable control systems
Proceedings of the IEEE, 1968The matrix equation AXD - G = 0, where A, D, and G are real, analytic matrix functions of the complex variable s, arises in compensator specification for a multivariable control system. The generalized inverses of A and D may be used to solve for X if the equation has a solution, or to determine that X which minimizes AXD - G if the equation has no ...
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Dynamic controllers in linear multivariable systems
Automatica, 1981BALESTRINO A., CELENTANO, GIOVANNI
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Multipurpose controllers for multivariable systems
IEEE Transactions on Automatic Control, 1981The primary purpose of this paper is to outline a new procedure for designing controllers which simultaneously achieve a variety of desired design goals in deterministic, unity feedback, linear multivariable systems. More specifically, we will present a new algorithm for the systematic design of a "three-part" multivariable controller which ...
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Controllability and Observability in Multivariable Control Systems
Journal of the Society for Industrial and Applied Mathematics Series A Control, 1963openaire +1 more source