国际自主系统研讨会
会议组织
会议注册
会议程序
大会报告
会场、酒店与交通
主办单位
当前位置: 首页  学术动态  国际自主系统研讨会  大会报告
大会报告

On Spacecraft Intelligent Autonomous Control and Its Applications


Hong-Xin Wu

Beijing Institute of Control Engineering


Abstract: In this talk, the basic concept, the research objective and the necessity of spacecraft intelligent autonomous control are firstly introduced, with a brief review of the state-of-the-art of this research field. The theory, the methodology, the system architecture, the future research plan and the ongoing specific research topics, are then discussed in detail. In particular several practical examples are introduced. In the end it is concluded that the practical problems and objectives are in the core and play the key role in guiding the research on theories, methodologies and applications.






Biography: Hong-Xin Wu is an academician of Chinese Academy of sciences. He is currently a researcher at China Institute of space technology. He is mainly engaged in aerospace and industrial areas of adaptive control and intelligent control theory and application research. He puts forward all coefficient adaptive control theory and method, which is a set of adaptive system and practical complete strong control theory and method for a class of objects in the parameter estimation of convergence to the transition stage of true value , can guarantee the closed-loop system is stable and has good performance. In the aspect of intelligent control ,he puts forward feature modeling, golden-section intelligent control method based on description of object characteristic-model, variable structure coefficient intelligent control method for spacecraft and intelligent control method based on intelligent feature model, which has opened a new path for the design of reduced order controller and intelligent controller that has important theoretical significance and practical value for the development of spacecraft control and industrial control.




On Moment Problems in Robust Control, Spectral Estimation, Image Processing and System Identification


Anders Lindquist

Shanghai Jiao Tong University


Abstract: Moment problems are ubiquitous in both mathematics and engineering. Such inverse problems are typically underdetermined and give rise to families of particular solutions. Therefore finding a solution that also satisfies a natural optimality criterion and additional design specifications is an important general problem in engineering. Many problems in circuit theory, power systems, robust control, signal processing, spectral estimation, statistical modeling, image processing and identification lead to a non-classical version of the moment problem, reflecting the importance of rational functions in engineering applications. Although this version of the problem is nonlinear, there exists a natural, universal family of strictly convex optimization criteria defined on the convex set of particular solutions. This provides a powerful paradigm for smoothly parameterizing, comparing and shaping the solutions based on various additional design criteria and enables us to establish the smooth dependence of solutions on problem data.






Biography: Anders Lindquist is presently Zhiyuan Chair Professor at Shanghai Jiao Tong University in China and an Emeritus Professor at the Royal Institute of Technology (KTH), Stockholm, Sweden. Before then he had a full academic career in the United States, after which he was appointed to the Chair of Optimization and Systems Theory at KTH, where he also served as the Director of the Center for Industrial and Applied Mathematics. For ten years he was also the Head of the Mathematics Department there.


Lindquist is a Member of the Royal Swedish Academy of Engineering Sciences, a Foreign Member of the Chinese Academy of Sciences, a Foreign Member of the Russian Academy of Natural Sciences, an Honorary Member the Hungarian Operations Research Society, a Life Fellow of IEEE, a Fellow of SIAM, and a Fellow of IFAC.He is an honorary doctor at the Technion, Israel, and the recipient of the 2009 Reid Prize in Mathematics from SIAM and of the 2003 Axelby Outstanding Paper Award from the IEEE Control System Society.






Proper, Denominator Assigning Feedback Compensators Equivalent to State Variable Feedback


Antonis-Ioannis G. Vardulakis

Department of Mathematics, Aristotle University of Thessaloniki

AbstractFor linear, time-invariant, stabilizable multivariable systems, we examine the problem of the existence and computation of proper denominator assigning and internally stabilizing feedback compensators, which give rise to a closed-loop systems, whose transfer function matrix is equal to one that can be obtained by the action of state variable feedback. We establish a sufficient condition for the solution of this problem for the class of systems with the same number of inputs and outputs and non-singular transfer function matrix with all its zeros located in the open left half of the complex plane.





BiographyAntonis – Ioannis Vardulakis was born in Thessaloniki, Greece, in 1946. He studied at the University of Athens, where he obtained the B.Sc. degree in Physics in 1969.He obtained the M.Sc. degree in “Theory and Practice of Automatic Control” from the Control Systems Centre of the University of Manchester Institute of Science and Technology (UMIST), Manchester, England in 1971 and the Ph.D. in Automatic Control from UMIST in 1974. In 1975 he was employed as a Research Assistant at the Department of Computing and Control, Imperial College of Science and Technology, London, England and in 1978 he was employed by the Control and Management System Division of the Engineering Department, University of Cambridge. In 1984 he was appointed Professor at the Department of Mathematics of the Aristotle University of Thessaloniki, Thessaloniki, Greece and in 2015 he was appointed Professor Emeritus at the same department where presently he teaches at the Master in Mathematics specialisation on Theoretical Informatics and Systems & Control Theory.







Time-Varying Feedback for Robust Regulation in Prescribed Finite Time


Miroslav Krstic

University of California, San Diego


Abstract: While non-smooth approaches (including sliding mode control) provide explicit feedback laws that ensure finite-time stabilization but in terminal time that depends on the initial condition, fixed-time optimal control with a terminal constraint ensures regulation in prescribed time but lacks the explicit character in the presence of nonlinearities and uncertainties. Yongduan Song and I propose an alternative to these approaches, which, while lacking optimality, provides explicit time-varying feedback laws that achieve regulation in prescribed finite time. We scale the state by a function of time that grows unbounded towards the terminal time and then design a controller that stabilizes the system in the scaled state representation, yielding regulation in prescribed finite time for the original state.  




Biography: Miroslav Krstic is the Daniel L. Alspach chair in Dynamic Systems and Control and the founding director of the Cymer Center for Control Systems and Dynamics at UC San Diego. He is a recipient of the PECASE, NSF Career, and ONR Young Investigator Awards, as well as the Axelby and Schuck Paper Prizes. Krstic was the first recipient of the UCSD Research Award in the area of engineering and has held the Russell Severance Springer Distinguished Visiting Professorship at UC Berkeley and the Harold W. Sorenson Distinguished Professorship at UCSD. He is a Fellow of IEEE and IFAC and serves as Senior Editor in IEEE Transactions on Automatic Control and Automatica. He has served as Vice President of the IEEE Control Systems Society. Krstic has coauthored eight books on adaptive, nonlinear, and stochastic control, extremum seeking, control of PDE systems including turbulent flows, and control of delay systems.