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Controllability results for systems with a nonconvex target
10
Citations
12
References
1984
Year
Global ControllabilityEngineeringComplete ControllabilityMathematical Control TheoryProcess ControlSystems EngineeringControllability ResultsObservabilityControllability ProblemControllabilitySystem DynamicStability
this paper considers the problem of steering the state <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x(t)</tex> of the system <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\dot{x}(t)=A(t)x(t)+f(t,u(t))</tex> to a prescribed target <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</tex> . The input <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">u(t)</tex> is restricted to lie in a prespecified set Ω which is assumed compact. Unlike the results of previous authors, we allow <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</tex> to be any set and do not require <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</tex> to be convex or closed. Necessary conditions and sufficient conditions for the existence of a control which steers the system to the target from a specified initial condition are given. Conditions for global controllability to the target are also derived. An additional concept of controllability that we investigate is that of complete controllability. Complete controllability, is concerned with the ability to steer the system from any initial point to any final point. One of the most important results of this paper is that we develop a technique for constructing a steering control. Previous work on the constrained controllability problem has dealt with methods for determining a steering control in only a limited way. Finally, numerical techniques for checking controllability and for constructing a steering control are described and the results obtained from the application of our algorithm to several examples are presented.
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