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On the design of optimal constrained dynamic compensators for linear constant systems

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TLDR
In this paper, the design of linear time-invariant dynamic compensators of fixed dimensionality s, which are to be used for the regulation of an n th-order linear time invariant plant, is dealt with.
Abstract
The design of linear time-invariant dynamic compensators of fixed dimensionality s , which are to be used for the regulation of an n th-order linear time-invariant plant, is dealt with. A modified quadratic cost criterion is employed in which a quadratic penalty on the system state as well as all compensator gains is used; the effects of the initial state are averaged out. The optimal compensator gains are specified by a set of simultaneous nonlinear matrix algebraic equations. The numerical solution of these equations would specify the gain matrices of the dynamic compensator. The proposed method may prove useful in the design of low-order s compensators for high-order n plants that have few r outputs, so that the dimension of the compensator is less than that obtained through the use of the associated Kalman-Bucy filter n or the Luenberger observer n - r .

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Citations
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Journal ArticleDOI

Survey paper: Static output feedback-A survey

TL;DR: Although many approaches and techniques exist to approach different versions of the static output feedback problem in the control of linear, time-invariant systems, no efficient algorithmic solutions are available.
Proceedings ArticleDOI

Static output feedback: a survey

TL;DR: In this paper, the static output feedback problem in the control of linear, time-invariant (LTI) systems is reviewed and the knowledge gained in the decades of research into this most important problem is presented.
Journal ArticleDOI

The optimal projection equations for fixed-order dynamic compensation

TL;DR: In this paper, the first-order necessary conditions for quadratically optimal, steady-state, fixed-order dynamic compensation of a linear, time-invariant plant in the presence of disturbance and observation noise are derived in a new and highly simplified form.
Journal ArticleDOI

Optimal limited state variable feedback controllers for linear systems

TL;DR: In this article, the problem of designing compensators, the dimensions of which are fixed a priori, for linear systems is considered, and two types of compensators are considered: static (gain only) compensators which operate directly upon the output signals to generate the controls, and dynamic compensators of fixed dimension.
Journal ArticleDOI

Multirate digital control system design

TL;DR: Methods for multirate digital control system design, sampling rate selection, discretization, and synthesis methods are applied to two example design problems andMultirate and single-rate compensators synthesized by the different methods are compared based on closed-loop responses with compensators having the same real-time computation load.
References
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Journal ArticleDOI

Observers for multivariable systems

TL;DR: In this article, it was shown that the design of an observer for a system with M outputs can be reduced to the design for m separate observers for single-output subsystems.
Journal ArticleDOI

On the determination of the optimal constant output feedback gains for linear multivariable systems

TL;DR: In this article, the optimal control of linear time-invariant systems with respect to a quadratic performance criterion is discussed and an algorithm for computing FAST is presented.
Journal ArticleDOI

Suboptimal control of linear time-invariant systems subject to control structure constraints

TL;DR: In this paper, a method for designing controllers for linear time-invariant systems whose states are not all available or accessible for measurement and where the structure of the controller is constrained to be a linear time invariant combination of the measurable states of the system is presented.
Journal ArticleDOI

Sub-optimal Time-variable Feedback Control of Linear Dynamic Systems with Random Inputs†

TL;DR: In this paper, the problem of determining optimal control of a linear system affected by noise and with incomplete information about the actual state when the criterion is quadratic and the control signal is restricted to be a linear transformation of observations is considered.
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