The state-transition equation is defined as the solution of the linear homogeneous state equation. The linear time-invariant state equation given by with state vector x, control vector u, vector w of additive disturbances, and fixed matrices A, B, and E, can be solved by using either the classical method of solving linear differential equations or the Laplace transform method. The Laplace transform solution is presented in the following equations.The Laplace transform of the above equation yields where x(0) denotes initial-state vector evaluated at . Solving for gives So, the state-transition equation can be obtained by taking inverse Laplace transform as The state-transition equation as derived above is useful only when the initial time is defined to be at . In the study of control systems, specially discrete-data control systems, it is often desirable to break up a state-transition process into a sequence of transitions, so a more flexible initial time must be chosen. Let the initial time be represented by and the corresponding initial state by , and assume that the input and the disturbance are applied at t≥0. Starting with the above equation by setting and solving for , we get Once the state-transition equation is determined, the output vector can be expressed as a function of the initial state. (Wikipedia).
Solving a multi step equation with variables on both sides 5+3r=5r–19
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MIT 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010 View the complete course: http://ocw.mit.edu/6-041F10 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
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From playlist How to Solve Multi Step Equations with Variables on Both Sides