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State space (controls)
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High Quality Content by WIKIPEDIA articles! In control engineering, a state space representation is a mathematical model of a physical system as a set of input, output and state variables related by first-order differential equations. To abstract from the number of inputs, outputs and states, the variables are expressed as vectors and the differential and algebraic equations are written in matrix form (the last one can be done when the dynamical system is linear and time invariant). The state space representation (also known as the "time-domain approach") provides a convenient and compact way to model and analyze systems with multiple inputs and outputs. With p inputs and q outputs, we would otherwise have to write down q times p Laplace transforms to encode all the information about a system. Unlike the frequency domain approach, the use of the state space representation is not limited to systems with linear components and zero initial conditions. "State space" refers to the space whose axes are the state variables. The state of the system can be represented as a vector within that space.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130319519
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Sprache Englisch
- Genre Physik & Astronomie
- Größe H220mm x B150mm x T7mm
- Jahr 2009
- EAN 9786130319519
- Format Kartonierter Einband
- ISBN 978-613-0-31951-9
- Titel State space (controls)
- Untertitel Control Engineering, Differential Equation, Dynamical System, Laplace Transform, State Variable, Capacitor, Inductor, Transfer Function, Characteristic Polynomial
- Gewicht 183g
- Herausgeber Betascript Publishers
- Anzahl Seiten 112
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