Institution
Community emergency response team
Government•
About: Community emergency response team is a based out in . It is known for research contribution in the topics: Boundary layer & Robust control. The organization has 1059 authors who have published 1111 publications receiving 32972 citations.
Topics: Boundary layer, Robust control, Robustness (computer science), Linear matrix inequality, Wind tunnel
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the continuous and discrete-time H∞ control problems are solved via elementary manipulations on linear matrix inequalities (LMI), and two interesting new features emerge through this approach: solvability conditions valid for both regular and singular problems, and an LMI-based parametrization of all H ∞-suboptimal controllers, including reduced-order controllers.
Abstract: The continuous- and discrete-time H∞ control problems are solved via elementary manipulations on linear matrix inequalities (LMI). Two interesting new features emerge through this approach: solvability conditions valid for both regular and singular problems, and an LMI-based parametrization of all H∞-suboptimal controllers, including reduced-order controllers.
The solvability conditions involve Riccati inequalities rather than the usual indefinite Riccati equations. Alternatively, these conditions can be expressed as a system of three LMIs. Efficient convex optimization techniques are available to solve this system. Moreover, its solutions parametrize the set of H∞ controllers and bear important connections with the controller order and the closed-loop Lyapunov functions.
Thanks to such connections, the LMI-based characterization of H∞ controllers opens new perspectives for the refinement of H∞ design. Applications to cancellation-free design and controller order reduction are discussed and illustrated by examples.
3,200 citations
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TL;DR: The methodology presented in this paper is applied to the gain scheduling of a missile autopilot and is to bypass most difficulties associated with more classical schemes such as gain-interpolation or gain-scheduling techniques.
1,439 citations
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TL;DR: Extensions of H/sub /spl infin// synthesis techniques to allow for controller dependence on time-varying but measured parameters are discussed and simple heuristics are proposed to compute robust time-invariant controllers.
Abstract: An important class of linear time-varying systems consists of plants where the state-space matrices are fixed functions of some time-varying physical parameters /spl theta/. Small gain techniques can be applied to such systems to derive robust time-invariant controllers. Yet, this approach is often overly conservative when the parameters /spl theta/ undergo large variations during system operation. In general, higher performance can be achieved by control laws that incorporate available measurements of /spl theta/ and therefore "adjust" to the current plant dynamics. This paper discusses extensions of H/sub /spl infin// synthesis techniques to allow for controller dependence on time-varying but measured parameters. When this dependence is linear fractional, the existence of such gain-scheduled H/sub /spl infin// controllers is fully characterized in terms of linear matrix inequalities. The underlying synthesis problem is therefore a convex program for which efficient optimization techniques are available. The formalism and derivation techniques developed here apply to both the continuous- and discrete-time problems. Existence conditions for robust time-invariant controllers are recovered as a special case, and extensions to gain-scheduling in the face of parametric uncertainty are discussed. In particular, simple heuristics are proposed to compute such controllers. >
1,229 citations
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TL;DR: This paper proposes different parameterized linear matrix inequality (PLMI) characterizations for fuzzy control systems and these characterizations are relaxed into pure LMI programs, which provides tractable and effective techniques for the design of suboptimal fuzzy control Systems.
Abstract: This paper proposes different parameterized linear matrix inequality (PLMI) characterizations for fuzzy control systems. These PLMI characterizations are, in turn, relaxed into pure LMI programs, which provides tractable and effective techniques for the design of suboptimal fuzzy control systems. The advantages of the proposed methods over earlier ones are then discussed and illustrated through numerical examples and simulations.
1,099 citations
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TL;DR: Two alternative design techniques for constructing gain-scheduled controllers for uncertain linear parameter-varying systems are discussed and are amenable to linear matrix inequality problems via a gridding of the parameter space and a selection of basis functions.
Abstract: This paper is concerned with the design of gain-scheduled controllers for uncertain linear parameter-varying systems. Two alternative design techniques for constructing such controllers are discussed. Both techniques are amenable to linear matrix inequality problems via a gridding of the parameter space and a selection of basis functions. These problems are then readily solvable using available tools in convex semidefinite programming. When used together, these techniques provide complementary advantages of reduced computational burden and ease of controller implementation. The problem of synthesis for robust performance is then addressed by a new scaling approach for gain-scheduled control. The validity of the theoretical results are demonstrated through a two-link flexible manipulator design example. This is a challenging problem that requires scheduling of the controller in the manipulator geometry and robustness in face of uncertainty in the high-frequency range.
887 citations
Authors
Showing all 1060 results
Name | H-index | Papers | Citations |
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Didier Dubois | 113 | 742 | 54741 |
Zhongwei Chen | 92 | 511 | 33700 |
Yushan Yan | 89 | 388 | 28544 |
Ken Kleinman | 88 | 298 | 26066 |
Charles E. Wyman | 87 | 280 | 38058 |
Huanting Wang | 78 | 476 | 22219 |
Rajeev Kumar | 72 | 296 | 20848 |
Antonio Mutti | 58 | 294 | 11352 |
Pankaj Sharma | 58 | 643 | 12601 |
Matthew Barth | 54 | 284 | 10053 |
Pierre Apkarian | 53 | 174 | 16711 |
Paolo Macchiarini | 51 | 184 | 10792 |
Elizabeth Manias | 51 | 354 | 9292 |
Thomas Schiex | 47 | 138 | 11031 |
Hoang Duong Tuan | 46 | 361 | 8631 |