SMRSOFT

SMRSOFT: a MATLAB toolbox for optimization over polynomials and dynamical systems study via SOS programming. SMRSOFT is a Matlab toolbox for solving basic optimization problems over polynomials and studying dynamical systems via SOS programming. The main functions currently available in SMRSOFT are based on the techniques described in the book G. Chesi. Domain of Attraction: Analysis and Control via SOS Programming. Springer, 2011


References in zbMATH (referenced in 38 articles )

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  1. Awrejcewicz, Jan; Bilichenko, Dmytro; Cheib, Akram Khalil; Losyeva, Nataliya; Puzyrov, Volodymyr: Estimating the region of attraction based on a polynomial Lyapunov function (2021)
  2. Giesl, Peter; Hafstein, Sigurdur; Mehrabinezhad, Iman: Computation and verification of contraction metrics for exponentially stable equilibria (2021)
  3. Kramer, Boris: Stability domains for quadratic-bilinear reduced-order models (2021)
  4. Bahmani, Erfan; Rahmani, Mehdi: An LMI approach to dissipativity-based control of nonlinear systems (2020)
  5. Cavallo, Alberto; Canciello, Giacomo; Russo, Antonio: Integrated supervised adaptive control for the more electric aircraft (2020)
  6. Giesl, Peter; Osborne, Conor; Hafstein, Sigurdur: Automatic determination of connected sublevel sets of CPA Lyapunov functions (2020)
  7. Goluskin, David: Bounding extrema over global attractors using polynomial optimisation (2020)
  8. Liu, Shenyu; Liberzon, Daniel; Zharnitsky, Vadim: Almost Lyapunov functions for nonlinear systems (2020)
  9. Chesi, Graziano; Shen, Tiantian: Designing parametric linear quadratic regulators for parametric LTI systems via LMIs (2019)
  10. Goldsztejn, Alexandre; Chabert, Gilles: Estimating the robust domain of attraction for non-smooth systems using an interval Lyapunov equation (2019)
  11. Iannelli, Andrea; Marcos, Andrés; Lowenberg, Mark: Robust estimations of the region of attraction using invariant sets (2019)
  12. Magron, Victor; Garoche, Pierre-Loic; Henrion, Didier; Thirioux, Xavier: Semidefinite approximations of reachable sets for discrete-time polynomial systems (2019)
  13. Polcz, Péter; Péni, Tamás; Szederkényi, Gábor: Computational method for estimating the domain of attraction of discrete-time uncertain rational systems (2019)
  14. Riah, Rachid; Fiacchini, Mirko; Alamir, Mazen: Iterative method for estimating the robust domains of attraction of non-linear systems: application to cancer chemotherapy model with parametric uncertainties (2019)
  15. Sidorov, Eric; Zacksenhouse, Miriam: Lyapunov based estimation of the basin of attraction of Poincaré maps with applications to limit cycle walking (2019)
  16. Polcz, Péter; Péni, Tamás; Szederkényi, Gábor: Improved algorithm for computing the domain of attraction of rational nonlinear systems (2018)
  17. Zarei, Mojtaba; Kalhor, Ahmad; Brake, Dani: Arc length based maximal Lyapunov functions and domains of attraction estimation for polynomial nonlinear systems (2018)
  18. Chen, Xiangyong; Cao, Jinde; Park, Ju H.; Qiu, Jianlong: Stability analysis and estimation of domain of attraction for the endemic equilibrium of an SEIQ epidemic model (2017)
  19. Korda, Milan; Henrion, Didier; Jones, Colin N.: Convergence rates of moment-sum-of-squares hierarchies for optimal control problems (2017)
  20. Kundu, Soumya; Anghel, Marian: A multiple-comparison-systems method for distributed stability analysis of large-scale nonlinear systems (2017)

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