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状态转移方程是線性齊次狀態方程的解。線性時不變狀態方程可以用經典线性微分方程求解方法或拉普拉斯变换求解。
, The state-transition equation is defined a … 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.ressed as a function of the initial state.
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| rdfs:comment |
状态转移方程是線性齊次狀態方程的解。線性時不變狀態方程可以用經典线性微分方程求解方法或拉普拉斯变换求解。
, The state-transition equation is defined a … 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 giveste vector evaluated at . Solving for gives
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| rdfs:label |
状态转移方程
, State-transition equation
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