Computational Sampled-Data Nonlinear Control

计算采样数据非线性控制

• 批准号: 0324679
• 负责人: Andrew Teel
• 金额: --
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0324679&HistoricalAwards=false
• 关键词: Computational; Sampled; Data; Nonlinear; Control

While researchers have made major breakthroughs in controlling nonlinear continuous time systems overthe last two decades, more recently the research has started to focus on methods for controlling continuoustime systems based on discrete time models and over digital networks, because of the need to control increas-ingly complex systems and because of the increasing computer power typically available. The proposed workaims to use previously developed nonlinear continuous time control methods as a springboard to developnew, high performance control algorithms for general nonlinear systems based on discrete-time models. Thefocus will be on developing algorithms that are robust, adaptive, and don't require full measurement ofthe system state. Applications of these results will include the development of optimal treatment schedulesfor HIV patients, leading to a non-progressive state where treatment is no longer needed. Other applica-tions will include control and calibration of automotive engines where state constraints, which are easy toincorporate into certain optimization-based control strategies but which often lead to non-robust controlalgorithms, play an important role. The proposed work also aims to give new, improved stability conditionsfor networked nonlinear control systems, especially those using protocols that don't necessarily guaranteetransmission to every node of the communication network within a fixed amount of time. It is expected thatthese new stability conditions for networked control systems will give insight into the development of novelcommunication protocols which will, in turn, make networked control systems more successful and prevalent.Broader impact:The work in this proposal has the potential for broad impact via the role that control plays as an enablingtechnology. As suggested above, the ideas that we will investigate may help lead the way to efficient drugtreatment schedules for HIV patients leading to a non-progressive state, thereby eliminating the need forfurther drug therapy. In general, it should make it more feasible to rely on optimization-based automationalgorithms for a wide range of engineering tasks that impact all of society. The proposal will supportgraduate students who will present their findings at national and regional conferences. The results will bemade available, promptly, on the web and will be immediately incorporated into graduate courses at theproposing institution. The work will help to further shape UCSB's Center for Control Engineering andComputation, which is one of the leading programs in control education in the nation. It will strengtheninteractions with international partners, e.g., in Australia, France and Italy, will foster novel collaborativeefforts with theoretical biologists at the Fred Hutchinson Cancer Research Center in Seattle, and will furthercollaborative efforts with researchers at Ford Motor Company.

虽然在过去的二十年里，研究人员在控制非线性连续时间系统方面取得了重大突破，但最近的研究已经开始集中在基于离散时间模型和数字网络的连续时间系统控制方法上，因为需要控制越来越复杂的系统，而且通常可用的计算机能力越来越强。所提出的工作旨在使用以前开发的非线性连续时间控制方法作为跳板，开发新的，高性能的控制算法的一般非线性系统的离散时间模型的基础上。重点将是开发算法，是强大的，自适应的，不需要全面测量系统状态。这些结果的应用将包括为HIV患者开发最佳治疗药物，从而导致不再需要治疗的非进展状态。其它应用包括汽车发动机的控制和标定，其中状态约束起着重要的作用，这些约束很容易纳入某些基于优化的控制策略，但往往导致非鲁棒控制算法。所提出的工作还旨在为网络化非线性控制系统提供新的，改进的稳定性条件，特别是那些使用协议的系统，这些协议不一定在固定的时间内向通信网络的每个节点进行传输。预计这些新的网络控制系统的稳定性条件将深入了解novelcommunication protocols的发展，这反过来又会使网络控制系统更加成功和普遍。更广泛的影响：在这个建议中的工作具有广泛的影响，通过控制作为一个enablingtechnology的作用的潜力。如上所述，我们将研究的想法可能有助于为HIV患者提供有效的药物治疗方案，从而导致非进展状态，从而消除进一步药物治疗的需要。总的来说，它应该使依赖基于优化的自动化算法来完成影响整个社会的各种工程任务变得更加可行。该提案将支持研究生在国家和区域会议上介绍他们的研究结果。研究结果将及时在网上公布，并将立即纳入提议机构的研究生课程。这项工作将有助于进一步塑造UCSB的控制工程和计算中心，这是全国控制教育的领先项目之一。它将加强与国际伙伴的互动，例如，在澳大利亚、法国和意大利，将促进与西雅图的弗雷德哈钦森癌症研究中心的理论生物学家的新的合作努力，并将进一步与福特汽车公司的研究人员的合作努力。