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Hybrid Optimal Control under Mode Switching Constraints with Applications to Pesticide Scheduling

Published: 03 January 2018 Publication History

Abstract

This paper concerns optimal mode-scheduling in autonomous switched-mode hybrid dynamical systems, where the objective is to minimize a cost-performance functional defined on the state trajectory as a function of the schedule of modes. The controlled variable, namely the modes’ schedule, consists of the sequence of modes and the switchover times between them. We propose a gradient-descent algorithm that adjusts a given mode-schedule by changing multiple modes over time-sets of positive Lebesgue measures, thereby avoiding the inefficiencies inherent in existing techniques that change the modes one at a time. The algorithm is based on steepest descent with Armijo step sizes along Gâteaux differentials of the performance functional with respect to schedule-variations, which yields effective descent at each iteration. Since the space of mode-schedules is infinite dimensional and incomplete, the algorithm’s convergence is proved in the sense of Polak’s framework of optimality functions and minimizing sequences. Simulation results are presented, and possible extensions to problems with dwell-time lower-bound constraints are discussed.

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  • (2024)A new $ H_{\infty} $ control method of switched nonlinear systems with persistent dwell time: $ H_{\infty} $ fuzzy control criterion with convergence rate constraintsAIMS Mathematics10.3934/math.202412759:9(26092-26113)Online publication date: 2024
  • (2023)Model Predictive Control of Switched Linear Systems With Persistent Dwell-Time Constraints: Recursive Feasibility and StabilityIEEE Transactions on Automatic Control10.1109/TAC.2023.324827968:12(7887-7894)Online publication date: Dec-2023
  • (2022)An efficient MPC algorithm for switched systems with minimum dwell time constraintsAutomatica10.1016/j.automatica.2022.110453143(110453)Online publication date: Sep-2022
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    cover image ACM Transactions on Cyber-Physical Systems
    ACM Transactions on Cyber-Physical Systems  Volume 2, Issue 1
    Special Issue on ICCPS 2016
    January 2018
    140 pages
    ISSN:2378-962X
    EISSN:2378-9638
    DOI:10.1145/3174275
    • Editor:
    • Tei-Wei Kuo
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 03 January 2018
    Accepted: 01 January 2017
    Received: 01 July 2016
    Published in TCPS Volume 2, Issue 1

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    Author Tags

    1. Optimal control
    2. dwell time
    3. hybrid optimal control
    4. pesticide scheduling
    5. precision agriculture
    6. scheduling
    7. switch time optimization

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    View all
    • (2024)A new $ H_{\infty} $ control method of switched nonlinear systems with persistent dwell time: $ H_{\infty} $ fuzzy control criterion with convergence rate constraintsAIMS Mathematics10.3934/math.202412759:9(26092-26113)Online publication date: 2024
    • (2023)Model Predictive Control of Switched Linear Systems With Persistent Dwell-Time Constraints: Recursive Feasibility and StabilityIEEE Transactions on Automatic Control10.1109/TAC.2023.324827968:12(7887-7894)Online publication date: Dec-2023
    • (2022)An efficient MPC algorithm for switched systems with minimum dwell time constraintsAutomatica10.1016/j.automatica.2022.110453143(110453)Online publication date: Sep-2022
    • (2021)Multiphase mixed-integer nonlinear optimal control of hybrid electric vehiclesAutomatica10.1016/j.automatica.2020.109325123(109325)Online publication date: Jan-2021
    • (2020)A gradient algorithm for solution of the optimal control problem for hybrid switching systemsOptimal Control Applications and Methods10.1002/oca.267341:6(1854-1874)Online publication date: 9-Sep-2020

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