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Description: |
In this talk the problem of designing feedback control laws when a complete set of state variables is not available will be considered. For linear autonomous control systems with quadratic performance criterion, the design problem consists of choosing an approporiate static output feedback gain matrix according to a certain objective function. The corresponding nonlinear matrix optimization problem can be interpreted as a constrained and unconstrained minimization problem. For solving this optimal control problem, second order methods are introduced, e.g., Newton's method with line search, constrained and unconstrained trust region methods.
Numerical results are demonstrated through different applications from the engineering literature.
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Date: |
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| Start Time: |
14:00 |
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Speaker: |
El-Sayed Mostafa (University of Alexandria, Egypt and Univeridade de Coimbra, Portugal)
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Place: |
Room 5.5
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| Research Groups: |
-Numerical Analysis and Optimization
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See more:
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