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A decomposition approach to output tracking for multivariable nonlinear non-minimum phase systems

S.A. Al-Hiddabi, N. Harris McClamroch

Open publisher page 12 citations

Abstract

It is common wisdom that if a multivariable nonlinear system, affine in the controls, is non-minimum phase then dynamic inversion is not applicable for output tracking. We introduce a new approach in which a multivariable nonlinear control system is decomposed into two parts: a minimum phase part and a non-minimum phase part. For the minimum phase part dynamic inversion can be used to achieve output tracking. The non-minimum phase part can be suitably controlled by linear feedback, but the decomposition often leads to a simpler non-minimum phase problem than the original. It is necessary to restrict the class of output commands to be tracked according to the properties of the non-minimum phase part. These restrictions are identified by using results from robust control theory for commands that are perturbations of a command corresponding to a closed loop equilibrium.

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What this paper is about

It is common wisdom that if a multivariable nonlinear system, affine in the controls, is non-minimum phase then dynamic inversion is not applicable for output tracking. We introduce a new approach in which a multivariable nonlinear control system is decomposed into two parts: a minimum phase part and a non-minimum phase part. For the minimum phase part dynamic inversion can be used to achieve output tracking. The non-minimum phase part can be suitably controlled by linear feedback, but the decomposition often leads to a simpler non-minimum phase problem than the original. It is necessary to restrict the class of output commands to be tracked according to the properties of the non-minimum phase part. These restrictions are identified by using results from robust control theory for commands that are perturbations of a command corresponding to a closed loop equilibrium.

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Available abstract

It is common wisdom that if a multivariable nonlinear system, affine in the controls, is non-minimum phase then dynamic inversion is not applicable for output tracking. We introduce a new approach in which a multivariable nonlinear control system is decomposed into two parts: a minimum phase part and a non-minimum phase part. For the minimum phase part dynamic inversion can be used to achieve output tracking. The non-minimum phase part can be suitably controlled by linear feedback, but the decomposition often leads to a simpler non-minimum phase problem than the original. It is necessary to restrict the class of output commands to be tracked according to the properties of the non-minimum phase part. These restrictions are identified by using results from robust control theory for commands that are perturbations of a command corresponding to a closed loop equilibrium.

Key concepts: Minimum phase, Multivariable calculus, Control theory (sociology), Nonlinear system, Inversion (geology), Phase (matter), Computer science, Affine transformation

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