Abstract

Methods which calculate state feedback matrices explicitly for uncontrollable systems are considered in this paper. They are based on the well-known method of the entire eigenstructure assignment. The use of a particular similarity transformation exposes certain intrinsic properties of the closed loop w-eigenvectors together with their companion z-vectors. The methods are extended further to deal with multi-input control systems. Existence of eigenvectors solution is established. A differentiation property of the z-vectors is proved for the repeated eigenvalues assignment case. Two examples are worked out in detail.

Highlights

  • A study by [1] on eigenvalue assignment for single-input linear systems is followed in this paper

  • It is based on the well-known entire eigenstructure assignment method [2]-[4]

  • N.B.; The state feedback matrix above assigns the four eigenvalues required according to the entire eigenstructure method

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Summary

Introduction

A study by [1] on eigenvalue assignment for single-input linear systems is followed in this paper. Studies regarding existence, uniqueness, and numerical solution have been conducted by [9] As required by this method, the w-eigenvectors and companion z-vectors are extracted out of the null space of an augmented n× n + m matrix. For the single-input and multi-input cases, the study shows that calculations of the needed w-eigenvectors and the z-vectors are based on lower order matrices specifying the controllable part and the uncontrollable part of the system. Such approach simplifies the design process, and provides numerical advantages.

Basis of the Method
The Uncontrollable Case
Solutions by Decomposition of the Eigenvectors
A Multi-Input Case
Repeated Eigenvalues
Existence of the Solution
Examples
Conclusion

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