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相关论文: Hands-Off Control as Green Control

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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)…

系统与控制 · 计算机科学 2016-11-17 M. Nagahara , D. E. Quevedo , D. Nesic

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…

最优化与控制 · 数学 2013-08-05 Masaaki Nagahara , Daniel E. Quevedo , Dragan Nesic

Maximum hands-off control aims to maximize the length of time over which zero actuator values are applied to a system when executing specified control tasks. To tackle such problems, recent literature has investigated optimal control…

系统与控制 · 计算机科学 2017-11-27 Debasish Chatterjee , Masaaki Nagahara , Daniel Quevedo , K. S. Mallikarjuna Rao

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…

系统与控制 · 计算机科学 2015-11-19 Takuya Ikeda , Masaaki Nagahara

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…

系统与控制 · 计算机科学 2016-11-08 Niharika Challapalli , Masaaki Nagahara , Mathukumalli Vidyasagar

A novel set-theoretical approach to hands-off control is proposed, focusing on spatial arguments for command limitation rather than temporal ones. By employing dynamical feedback alongside invariant set-based constraints, actuation is…

系统与控制 · 电气工程与系统科学 2025-12-02 Andrei Sperilă , Sorin Olaru , Stéphane Drobot

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…

系统与控制 · 计算机科学 2017-10-24 Niharika Challapalli , Masaaki Nagahara , Mathukumalli Vidyasagar

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…

最优化与控制 · 数学 2020-05-01 Noboru Sakamoto , Masaaki Nagahara

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…

系统与控制 · 计算机科学 2014-12-30 Takuya Ikeda , Masaaki Nagahara

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…

最优化与控制 · 数学 2024-02-19 Takuya Ikeda

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…

最优化与控制 · 数学 2026-01-27 Darsana U , Atreyee Kundu

A novel method for control of dynamical systems, proposed in the paper, ensures an output signal belonging to the given set at any time. The method is based on a special change of coordinates such that the initial problem with given…

系统与控制 · 电气工程与系统科学 2019-12-19 Igor Furtat

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…

最优化与控制 · 数学 2026-01-13 Siddhartha Ganguly , Kenji Kashima

This paper presents a new model-based algorithm that computes predictive optimal controls on-line and in closed loop for traditionally challenging nonlinear systems. Examples demonstrate the same algorithm controlling hybrid impulsive,…

机器人学 · 计算机科学 2017-09-04 Alex Ansari , Todd Murphey

We revisit the optimal control problem of maximizing biogas production in continuous bio-processes in two directions: 1. over an infinite horizon, 2. with sub-optimal controllers independent of the time horizon. For the first point, we…

最优化与控制 · 数学 2019-06-10 Antoine Haddon , Hector Ramirez , Alain Rapaport

Soft and active condensed matter represent a class of fascinating materials that we encounter in our everyday lives -- and constitute life itself. Control signals interact with the dynamics of these systems, and this influence is formalized…

软凝聚态物质 · 物理学 2025-04-14 José Alvarado , Erin Teich , David Sivak , John Bechhoefer

This paper presents a new technique to control highly redundant mechanical systems, such as humanoid robots. We take inspiration from two approaches. Prioritized control is a widespread multi-task technique in robotics and animation: tasks…

机器人学 · 计算机科学 2014-10-17 Andrea Del Prete , Francesco Romano , Lorenzo Natale , Giorgio Metta , Giulio Sandini , Francesco Nori

This paper proposes a feedback control perspective for Human-Earth Systems (HESs) which essentially are complex systems that capture the interactions between humans and nature. Recent attention in HES research has been directed towards…

系统与控制 · 电气工程与系统科学 2024-05-14 Guido Cavraro

We consider a system that is exactly controllable. For given initial state, terminal state and objective function, an optimal control is often well-defined. Such an optimal control has the disadvantage that although it works perfectly well…

最优化与控制 · 数学 2013-07-08 Martin Gugat

Novel nonlinear damping control is proposed for the second-order systems. The proportional output feedback is combined with the damping term which is quadratic to the output derivative and inverse to the set-point distance. The global…

系统与控制 · 电气工程与系统科学 2020-11-30 Michael Ruderman
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