In this paper, a convex parameterization methodology is presented for the problem of robust stabilization of the systems with quadratic constraint uncertainties. By this approach, the robust stabilization problem is converted to a convexly parameterized robust SPR synthesis problem. To solve this convexly parameterized robust SPR synthesis problem, the S-procedure is used to convert the problem to finding the feasible solutions of frequency dependent LMIs which can be solved by combining the techniques of griding the frequency range to get a limited number of LMIs and using KYP lemma to check the feasibility of the solutions.Automation & Control SystemsComputer Science, Artificial IntelligenceCPCI-S(ISTP)
International audienceIn control related studies, convex liftings have been of use to solve inverse ...
In this paper, a new data-driven method for designing robust controllers is proposed for systemswith...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
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A robust synthesis algorithm is developed for a class of uncertain, linear parameter varying (LPV) s...
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This paper studies the problem of robust controller design for the systems with mixed uncertainties ...
This paper presents a new procedure for continuous and discrete-time linear control systems design. ...
In this thesis, we outline three contributions in robust control. The first is the efficient computa...
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stability and robustness analysis problems to nondifferentiable convex programs. They have also prov...
Isr develops, applies and teaches advanced methodologies of design and analysis to solve complex, hi...
This paper addresses the problem of designing robust controllers for linear plants affected by rank ...
The authors propose a framework that takes explicitly into account both time-domain constraints and ...
The design of a feedforward compensator for robust Hscr,8 or Hscr,2 performance under structured unc...
International audienceIn control related studies, convex liftings have been of use to solve inverse ...
In this paper, a new data-driven method for designing robust controllers is proposed for systemswith...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...
This paper studies the problem of robust controller design for systems with integral quadratic const...
A robust synthesis algorithm is developed for a class of uncertain, linear parameter varying (LPV) s...
This paper presents a new procedure for continuous and discrete-time linear control systems design. ...
This paper studies the problem of robust controller design for the systems with mixed uncertainties ...
This paper presents a new procedure for continuous and discrete-time linear control systems design. ...
In this thesis, we outline three contributions in robust control. The first is the efficient computa...
This paper presents a convex optimization-based solution to the design of state-feedback controllers...
stability and robustness analysis problems to nondifferentiable convex programs. They have also prov...
Isr develops, applies and teaches advanced methodologies of design and analysis to solve complex, hi...
This paper addresses the problem of designing robust controllers for linear plants affected by rank ...
The authors propose a framework that takes explicitly into account both time-domain constraints and ...
The design of a feedforward compensator for robust Hscr,8 or Hscr,2 performance under structured unc...
International audienceIn control related studies, convex liftings have been of use to solve inverse ...
In this paper, a new data-driven method for designing robust controllers is proposed for systemswith...
In the design of a robust control system, one needs a nominal model together with a quantitative bou...