Suboptimal control with optimal quadratic regulators
dc.creator | Karmokolias, Constantine | |
dc.date.available | 2011-02-18T22:12:27Z | |
dc.date.issued | 1979-05 | |
dc.degree.department | Electrical and Computer Engineering | en_US |
dc.description.abstract | In general, the problem posed by Optimal Control Theory is to provide a given system, Z, with an appropriate input, so that the system achieves a performance which exhibits certain desired characteristics. For relatively few requirements, closed form mathematical solutions may often be possible. If however, the solution is not feasible, a suboptimal scheme must be used. In fact, such a scheme may be preferable simply because it may be easier to implement. For example, a two-step procedure was proposed in [1], where a feedback matrix is used to transfer the system from some initial state to the vicinity of the desired state in minimum time. Then a second matrix is switched on to guarantee maximum stability. In [2] a closed loop, approximately time-optimal strategy was developed for a class of linear systems with a total effort constraint. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/2346/17766 | en_US |
dc.language.iso | eng | |
dc.publisher | Texas Tech University | en_US |
dc.rights.availability | Unrestricted. | |
dc.subject | Control theory | en_US |
dc.subject | Feedback control systems | en_US |
dc.subject | Riccati equation | en_US |
dc.subject | Eigenvalues | en_US |
dc.title | Suboptimal control with optimal quadratic regulators | |
dc.type | Dissertation | |
thesis.degree.department | Electrical and Computer Engineering | |
thesis.degree.discipline | Electrical and Computer Engineering | |
thesis.degree.grantor | Texas Tech University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Ph.D. |
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