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  • Není k dispozici (cs)
  • When developing efficient and reliable computer-aided control system design (CACSD) tools for low-order robust control systems analysis and synthesis, the main issue faced by theoreticians and practitioners is the non-convexity of the stability domain in the space of polynomial coefficients, or equivalently, in the space of design parameters. In this paper, we survey some of the recently developed techniques to overcome this non-convexity, underlining their respective pros and cons. We also enumerate some related open research problems which, in our opinion, deserve particular attention.
  • When developing efficient and reliable computer-aided control system design (CACSD) tools for low-order robust control systems analysis and synthesis, the main issue faced by theoreticians and practitioners is the non-convexity of the stability domain in the space of polynomial coefficients, or equivalently, in the space of design parameters. In this paper, we survey some of the recently developed techniques to overcome this non-convexity, underlining their respective pros and cons. We also enumerate some related open research problems which, in our opinion, deserve particular attention. (en)
Title
  • Overcoming non-convexity in polynomial robust control design
  • Overcoming non-convexity in polynomial robust control design (en)
  • Overcoming non-convexity in polynomial robust control design (cs)
skos:prefLabel
  • Overcoming non-convexity in polynomial robust control design
  • Overcoming non-convexity in polynomial robust control design (en)
  • Overcoming non-convexity in polynomial robust control design (cs)
skos:notation
  • RIV/68407700:21230/04:03104728!RIV/2005/GA0/212305/N
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  • P(GA102/02/0709), P(ME 698)
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  • 578599
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  • RIV/68407700:21230/04:03104728
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  • covex optimization; linear matrix inequalities; polynomial; robust control (en)
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  • [B19BD947D2EC]
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  • Henrion, Didier
  • Šebek, Michael
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  • 90-5682-517-8
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  • 21230
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