Results 311 to 320 of about 160,046 (357)
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Deadbeat control in multivariable linear systems
International Journal of Control, 1982Summary: A new approach to deadbeat control in multivariable linear time-invariant systems is presented. The approach enables us to find proportional- multiple-derivative output feedback matrices and a piecewise-constant control input vector such that the output vector of the closed-loop system coincides with the given reference vector r(t) for \(t\geq
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Nonlinear Control of Multivariable Systems
1999It is usual to think that there exist only a few control problems that can be posed directly in the frame of the input-state representation of a control system. They are presented by the well developed basic problems of stabilization about the state equilibrium point x = x* and tracking of the state reference trajectory x*(t) generated by a dynamical ...
Vladimir O. Nikiforov +2 more
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Multivariable Adaptive Control System
IEEE Transactions on Applications and Industry, 1963A multivariable control system in which the parameters of the plant transfer function matrix are unknown functions of time is described in this paper. It is a sequel to a previous one1 dealing with a single variable control system. A scheme is presented here in which the parameters of the plant transfer function are tracked and the controller transfer ...
C. N. Weygandt, N. N. Puri
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ADAPTIVE CONTROL OF DISCRETE MULTIVARIABLE SYSTEMS
IFAC Proceedings Volumes, 1983This paper presents a multivariable control algorithm for linear systems and its corresponding adaptive control scheme. The control algorithm is applicable to a class of multivariable systems including some non-stably invertible plants. The controller achieves tracking and regulation objectives independently and the adaptation algorithm – uses a ...
M. Bonilla, R. Lozano
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Synthesis of interaction in multivariable control systems
Automatica, 1964A method for the synthesis of interactions in a multivariable system is proposed. The objective of the method is that of utilizing interactions advantageously in the control of multivariable systems. The method ensures the improvement of the performance of the system in a realistic and changeable environment. To effect a description of the environment,
M. D. Mesarovi, L. Birta
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Multivariable Control System Design Algorithm
Journal of Guidance and Control, 1980The theory and associated numerical techniques for the Multiple Input Multiple Output Compensator Improvement Program are presented. This algorithm is applicable to the design of the feedback compensation matrix for linear time-invariant control systems with plants possessing multiple control inputs and multiple outputs. The algorithm discussed in this
Willie L. McDaniel +2 more
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A Multivariable Controller for a Marine Propulsion System
IFAC Proceedings Volumes, 1979Abstract The problem of designing feedback control system for marine propulsion plant using recently developed algebraic results which enable non-interaction in the combined compensator and linearised system model to be attained, will be considered. A relaxation of the complexity of the decoupling scheme such that a condition of weakened interaction ...
R. Whalley +3 more
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An expert system for multivariable controller design
Automatica, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heikki N. Koivo +2 more
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Adaptive Control of Multivariable Systems
1985Abstract : During this period the Principal Investigator wrote six technical papers. Titles are: New directions in parameter adaptive control, Adaptive stabilization of linear systems with unknown high frequency, A smooth algorithm for adaptive stabilization of a discrete linear system with an unknown high frequency gain, A 4(n+1)-dimensional model ...
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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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