Modern Control Systems: An Introduction

1.7: LINEARIZATION OF THE STATE EQUATION OF A GENERAL TIME-INVARIANT CONTROL SYSTEM

1.7 LINEARIZATION OF THE STATE EQUATION OF A GENERAL TIME-INVARIANT CONTROL SYSTEM

The state equation of a general time-invariant system is given by


For simplicity, we are just writing Equation (1.13) as


Let ( x 0, u 0) be an equilibrium point. This means the system is in equilibrium under the conditions x 0 and u 0, i.e.,


Equation (1.15) shows that the derivatives of all the state-variables are zero at the equilibrium point. Thus, the system continues to lie at the equilibrium point unless otherwise disturbed.

The state-Equation (1.14) of a general time-invariant system can be linearized about the equilibrium point ( x 0, u 0) by expanding it into Taylor's series and neglecting second-and higher-order terms.

Thus, the i th state equation is given by


Define the variations about the equilibrium point ( x 0, u 0) as



Also, from (1.16 A) we have


Now, for f i ( x 0, u 0) = 0; the linearized i th state-equation is given by


When writing the above linearized state equations in vector-matrix form



The matrices A and B are called the Jacobian Matrices and all the partial derivatives in matrices A and B are evaluated at the equilibrium point ( x 0, u 0).

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