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Polynomial/Algebraic Design Methods

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Abstract

Polynomial techniques have made important contributions to systems and control theory. Algebraic formalism offers several useful tools for control system design. In most cases, control systems are designed to be stable and to meet additional performance specifications, such as optimality or robustness. The basic tool is a parameterization of all controllers that stabilize a given plant. Optimal or robust controllers are then obtained by an appropriate selection of the parameter. An alternative tool is a reduction of controller synthesis to a solution of a polynomial equation of specific type. These two polynomial/algebraic approaches will be presented as closely related rather than isolated alternatives.

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Bibliography

  • Anderson BDO (1998) From Youla-Kučera to identification, adaptive and nonlinear control. Automatica 34:1485–1506

    Article  MATH  Google Scholar 

  • Åström KJ (1970) Introduction to stochastic control theory. Academic, New York

    MATH  Google Scholar 

  • Desoer CA, Liu RW, Murray J, Saeks R (1980) Feedback system design: the fractional representation approach to analysis and synthesis. IEEE Trans Autom Control 25:399–412

    Article  MATH  MathSciNet  Google Scholar 

  • Doyle JC, Francis BA, Tannenbaum AR (1992) Feedback control theory. Macmillan, New York

    Google Scholar 

  • Hammer J (1985) Nonlinear system stabilization and coprimeness. Int J Control 44:1349–1381

    Article  Google Scholar 

  • Henrion D, Tarbouriech S, Kučera V (2001) Control of linear systems subject to input constraints: a polynomial aproach. Automatica 37:597–604

    Article  MATH  Google Scholar 

  • Henrion D, Šebek M, Kučera V (2003) Positive polynomials and robust stabilization with fixed-order controllers. IEEE Trans Autom Control 48:1178–1186

    Article  Google Scholar 

  • Henrion D, Tarbouriech S, Kučera V (2005a) Control of linear systems subject to time-domain constraints with polynomial pole placement and LMIs. IEEE Trans Autom Control 50:1360–1364

    Article  Google Scholar 

  • Henrion D, Kučera V, Molina-Cristobal A (2005b) Optimizing simultaneously over the numerator and denominator polynomials in the Youla-Kučera parametrization. IEEE Trans Autom Control 50:1369–1374

    Article  Google Scholar 

  • Jury EI (1958) Sampled-data control systems. Wiley, New York

    MATH  Google Scholar 

  • Kučera V (1974) Closed-loop stability of discrete linear single variable systems. Kybernetika 10:146–171

    MATH  MathSciNet  Google Scholar 

  • Kučera V (1975) Stability of discrete linear feedback systems. In: Proceedings of the 6th IFAC world congress, Boston, vol 1, pp 44.1

    Google Scholar 

  • Kučera V (1979) Discrete linear control: the polynomial equation approach. Wiley, Chichester

    MATH  Google Scholar 

  • Kučera V (1993) Diophantine equations in control – a survey. Automatica 29:1361–1375

    Article  MATH  Google Scholar 

  • Kučera V (2007) Polynomial control: past, present, and future. Int J Robust Nonlinear 17:682–705

    Article  MATH  Google Scholar 

  • Kučera V (2003) Parametrization of stabilizing controllers with applications. In: Voicu M (ed) Advances in automatic control. Kluwer, Boston, pp 173–192

    Google Scholar 

  • Kučera V (2011) Algebraic design methods. In: Levine WS (ed) The control handbook: control system advanced methods, 2nd edn. CRC, Boca Raton

    Google Scholar 

  • Larin VB, Naumenko KI, Suntsev VN (1971) Spectral methods for synthesis of linear systems with feedback (in Russian). Naukova Dumka, Kiev

    Google Scholar 

  • Nett CN, Jacobson CA, Balas MJ (1984) A connection between state-space and doubly coprime fractional representations. IEEE Trans Automat Control 29:831–832

    Article  MATH  MathSciNet  Google Scholar 

  • Newton G, Gould L, Kaiser JF (1957) Analytic design of linear feedback controls. Wiley, New York

    Google Scholar 

  • Paice ADB, Moore JB (1990) On the Youla-Kučera parametrization of nonlinear systems. Syst Control Lett 14:121–129

    Article  MATH  MathSciNet  Google Scholar 

  • Quadrat A (2003) On a generalization of the Youla-Kučera parametrization. Part I: the fractional ideal approach to SISO systems. Syst Control Lett 50:135–148

    Article  MATH  MathSciNet  Google Scholar 

  • Quadrat A (2006) On a generalization of the Youla-Kučera parametrization. Part II: the lattice approach to MIMO systems. Math Control Signal 18:199–235

    Article  MATH  MathSciNet  Google Scholar 

  • Vidyasagar M (1985) Control system synthesis: a factorization approach. MIT, Cambridge

    MATH  Google Scholar 

  • Volgin LN (1962) The fundamentals of the theory of controlling machines (in Russian). Soviet Radio, Moscow

    Google Scholar 

  • Youla DC, Bongiorno JJ, Jabr HA (1976a) Modern Wiener-Hopf design of optimal controllers, part I: the single-input case. IEEE Trans Autom Control 21:3–14

    Article  MATH  MathSciNet  Google Scholar 

  • Youla DC, Jabr HA, Bongiorno JJ (1976b) Modern Wiener-Hopf design of optimal controllers, part II: the multivariable case. IEEE Trans Autom Control 21:319–338

    Article  MATH  MathSciNet  Google Scholar 

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Kučera, V. (2014). Polynomial/Algebraic Design Methods. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_239-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_239-1

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