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Related papers: Characterization of maximum hands-off control

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In this article, we propose a new paradigm of control, called a maximum-hands-off control. A hands-off control is defined as a control that has a much shorter support than the horizon length. The maximum-hands-off control is the…

Optimization and Control · Mathematics 2013-08-05 Masaaki Nagahara , Daniel E. Quevedo , Dragan Nesic

Maximum hands-off control is a control that has the minimum L0 norm among all feasible controls. It is known that the maximum hands-off (or L0-optimal) control problem is equivalent to the L1-optimal control under the assumption of…

Systems and Control · Computer Science 2015-11-19 Takuya Ikeda , Masaaki Nagahara

In this paper, we propose a new paradigm of control, called a maximum hands-off control. A hands-off control is defined as a control that has a short support per unit time. The maximum hands-off control is the minimum support (or sparsest)…

Systems and Control · Computer Science 2016-11-17 M. Nagahara , D. E. Quevedo , D. Nesic

In this paper, we consider hands-off control via minimization of the CLOT (Combined L-One and Two) norm. The maximum hands-off control is the L0-optimal (or the sparsest) control among all feasible controls that are bounded by a specified…

Systems and Control · Computer Science 2016-11-08 Niharika Challapalli , Masaaki Nagahara , Mathukumalli Vidyasagar

In this brief paper, we study the value function in maximum hands-off control. Maximum hands-off control, also known as sparse control, is the L0-optimal control among the admissible controls. Although the L0 measure is discontinuous and…

Systems and Control · Computer Science 2014-12-30 Takuya Ikeda , Masaaki Nagahara

In this article, we introduce a new paradigm of control, called hands-off control, which can save energy and reduce CO2 emissions in control systems. A hands-off control is defined as a control that has a much shorter support than the…

Systems and Control · Computer Science 2014-07-10 Masaaki Nagahara , Daniel E. Quevedo , Dragan Nesic

In this paper, we consider hands-off control via minimization of the CLOT (Combined $L$-One and Two) norm. The maximum hands-off control is the $L^0$-optimal (or the sparsest) control among all feasible controls that are bounded by a…

Systems and Control · Computer Science 2017-10-24 Niharika Challapalli , Masaaki Nagahara , Mathukumalli Vidyasagar

This work advances the maximum hands-off sparse control framework by developing a robust counterpart for constrained linear systems with parametric uncertainties. The resulting optimal control problem minimizes an $L^{0}$ objective subject…

Optimization and Control · Mathematics 2026-01-13 Siddhartha Ganguly , Kenji Kashima

The maximum hands-off control is the optimal solution to the L0 optimal control problem. It has the minimum support length among all feasible control inputs. To avoid computational difficulties arising from its combinatorial nature, the…

Optimization and Control · Mathematics 2024-02-19 Takuya Ikeda

This paper presents analyses for the maximum hands-off control using the geometric methods developed for the theory of turnpike in optimal control. First, a sufficient condition is proved for the existence of the maximum hands-off control…

Optimization and Control · Mathematics 2020-05-01 Noboru Sakamoto , Masaaki Nagahara

In this paper, we investigate a sparse optimal control of continuous-time stochastic systems. We adopt the dynamic programming approach and analyze the optimal control via the value function. Due to the non-smoothness of the $L^0$ cost…

Optimization and Control · Mathematics 2021-09-17 Kaito Ito , Takuya Ikeda , Kenji Kashima

A class of infinite horizon optimal control problems involving mixed quasi-norms of $L^p$-type cost functionals for the controls is discussed. These functionals enhance sparsity and switching properties of the optimal controls. The…

Optimization and Control · Mathematics 2020-11-17 Dante Kalise , Karl Kunisch , Zhiping Rao

This article treats optimal sparse control problems with multiple constraints defined at intermediate points of the time domain. For such problems with intermediate constraints, we first establish a new Pontryagin maximum principle that…

Optimization and Control · Mathematics 2020-12-22 Yogesh Kumar , Sukumar Srikant , Debasish Chatterjee , Masaaki Nagahara

An optimal control problem with a time-parameter is considered. The functional to be optimized includes the maximum over time-horizon reached by a function of the state variable, and so an $L^\infty$-term. In addition to the classical…

Optimization and Control · Mathematics 2018-11-01 Sébastien Court , Karl Kunisch , Laurent Pfeiffer

In this paper, we investigate optimal control problems subject to a semilinear elliptic partial differential equations. The cost functional contains a term that measures the size of the support of the control, which is the so-called…

Optimization and Control · Mathematics 2020-02-13 Eduardo Casas , Daniel Wachsmuth

Infinite horizon open loop optimal control problems for semilinear parabolic equations are investigated. The controls are subject to a cost-functional which promotes sparsity in time. The focus is put on deriving first order optimality…

Optimization and Control · Mathematics 2021-12-14 Eduardo Casas , Karl Kunisch

We propose a self-triggered control algorithm to reduce onboard processor usage, communication bandwidth, and energy consumption across a linear time-invariant networked control system. We formulate an optimal control problem by penalizing…

Systems and Control · Computer Science 2018-12-24 MirSaleh Bahavarnia , Hossein K. Mousavi , Nader Motee

This paper deals with design of maximum hands-off hybrid control sequences for discrete-time switched linear systems. It is a sparsest combination of a discrete control sequence (i.e. the switching sequence) and a continuous control…

Optimization and Control · Mathematics 2026-01-27 Darsana U , Atreyee Kundu

From a mathematical point of view self-organization can be described as patterns to which certain dynamical systems modeling social dynamics tend spontaneously to be attracted. In this paper we explore situations beyond self-organization,…

Optimization and Control · Mathematics 2014-03-24 Marco Caponigro , Massimo Fornasier , Benedetto Piccoli , Emmanuel Trélat

In many resource-limited optimal control problems, multiple constraints may be enforced that are jointly infeasible due to external factors such as subsystem failures, unexpected disturbances, or fuel limitations. In this manuscript, we…

Optimization and Control · Mathematics 2023-11-06 Natalia Pavlasek , Sarah H. Q. Li , Behçet Açıkmeşe , Meeko Oishi , Claus Danielson
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