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Intermittent Feedback Control With Maximum Average Off-Time
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DOI：10.1109/TAC.2020.3046223.png)
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摘要
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An intermittent feedback-based control policy is proposed for rejecting bounded disturbance signals in a continuous, linear time-invariant (LTI) system with distinct and rational eigenvalues. The proposed policy maximizes the average feedback-off time while retaining the state trajectory inside a prespecified safe region. To achieve this, the feedback link is alternatively turned on and off. During feedback-on intervals, the state trajectory is steered to the origin in min-max time and then feedback is turned off for some maximal precomputed duration. The largest subset of the safe region that is invariant under the proposed policy is characterized. The feedback control and the open-loop control in the proposed policy, which are applied during feedback-on and feedback-off intervals, respectively, are obtained by solving certain min-max and max-min time-optimal control problems. It is shown that the proposed policy achieves the abovementioned objective of maximizing the average feedback-off time. An interesting additional feature of this policy is that the optimal control problems in it need to be solved only once offline and, hence, they do not increase the burden of real-time computation.
Keyword:
Trajectory
Linear systems
Feedback control
Optimal control
Device-to-device communication
Eigenvalues and eigenfunctions
Real-time systems
Disturbance rejection
intermittent feedback
optimal control
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被引数:
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