课题基金 / 基金详情

U.S.-France Cooperative Research: Analysis and Synthesis of Nonlinear Time-Varying Control Systems

U.S.-France Cooperative Research: Analysis and Synthesis of Nonlinear Time-Varying Control Systems
美法合作研究:非线性时变控制系统的分析与综合
批准号:
9910030
负责人:
Andrew Teel
金额:
$2.1万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-05-01 至 2004-04-30

项目摘要

项目成果

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中文摘要
翻译
9910030 Teel这个为期三年的美国-法国合作研究的电气和通信系统涉及安德鲁R。加州大学圣巴巴拉分校的Teel和Petar Kokotovic以及格勒诺布尔自动化学院的Antonio Loria。 该项目由美国国家科学基金会和法国国家科学研究中心(CNRS)的一个项目支持,将促进新的时变系统统一稳定性分析工具的开发和鲁棒控制设计。 特别是调查人员将集中在跟踪控制和非线性非自治系统(NLTV)的时变稳定的控制律。 在进行理论研究的同时,研究人员还将把新的理论应用于机电系统的跟踪控制、欠驱动机械手和自动驾驶汽车等特定问题。该项目利用了美国和法国在非线性控制领域所使用技术的互补专长。 他们的共同努力将促进了解时变系统的自适应控制时,未知参数出现非线性的动态。
英文摘要
9910030TeelThis three-year award for U.S.-France cooperative research in electrical and communication systems involves Andrew R. Teel and Petar Kokotovic of the University of California, Santa Barbara, and Antonio Loria of the Laboratoire d'Automatique de Grenoble. The project, supported under a program of the National Science Foundation and the French National Center for Scientific Research (CNRS), will facilitate the development of new uniform stability analysis tools for time-varying systems and robust control design following a passivity approach. In particular the investigators will focus on control laws for tracking control and time-varying stabilization of nonlinear nonautonomous systems (NLTV). In parallel to their theoretical study, the investigators will apply the new theorems to particular problems such as tracking control of electromechanical systems, under actuated manipulators, and autonomous vehicles.The project takes advantage of U.S. and French complementary expertise in the techniques used in the field of nonlinear control. Their joint efforts will advance understanding of adaptive control of time-varying systems when the unknown parameters appear nonlinearly in the dynamics.
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会议论文
Dynamical systems with random influences mixing logic and physics: a framework enabling control engineers to design for resilient autonomy
Further advances in stability analysis for hybrid adversarial Markov decision processes
Stability theory for set-valued stochastic hybrid systems
Uncertain Hybrid Systems
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