Asymptotically exact stabilisation for constrained discrete Takagi-Sugeno systems via set-invariance

Given a TakagiSugeno (TS) system, this paper proposes a novel methodology to obtain the state feedback controller guaranteeing, asymptotically as a Polya-related complexity parameter grows, the largest (membership-shape independent) possible domain-of-attraction with contraction-rate performance , based on polyhedral -contractive sets from constrained linear systems literature. The resulting controller is valid for any realisation of the memberships, as usual in most TS literature. For a finite complexity parameter, an inner estimate of such largest set is obtained; the frontier of such approximation can be understood as the level set of a polyhedral control-Lyapunov function. Convergence of a proposed iterative algorithm is asymptotically necessary and sufficient for TS system stabilisation: for a high-enough value of the complexity parameter, any conceivable shape-independent Lyapunov controller design procedure will yield a proven domain of attraction smaller or equal to the algorithm's output.

[1]  Antonio Sala,et al.  Robust polytopic invariant sets for discrete fuzzy control systems , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[2]  Antonio Sala,et al.  Optimisation of transient and ultimate inescapable sets with polynomial boundaries for nonlinear systems , 2016, Autom..

[3]  Franco Blanchini,et al.  Ultimate boundedness control for uncertain discrete-time systems via set-induced Lyapunov functions , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[4]  Robert Babuska,et al.  Perspectives of fuzzy systems and control , 2005, Fuzzy Sets Syst..

[5]  K. T. Tan,et al.  Linear systems with state and control constraints: the theory and application of maximal output admissible sets , 1991 .

[6]  D. Bertsekas Infinite time reachability of state-space regions by using feedback control , 1972 .

[7]  Tingshu Hu,et al.  Composite quadratic Lyapunov functions for constrained control systems , 2003, IEEE Trans. Autom. Control..

[8]  Shao-Yuan Li,et al.  Stabilization via extended nonquadratic boundedness for constrained nonlinear systems in Takagi-Sugeno's form , 2011, J. Frankl. Inst..

[9]  Antonio Sala,et al.  Design of Multiple-Parameterisation PDC Controllers via Relaxed Conditions for Multi-Dimensional Fuzzy Summations , 2007, 2007 IEEE International Fuzzy Systems Conference.

[10]  Miguel Bernal,et al.  A membership-function-dependent approach for stability analysis and controller synthesis of Takagi-Sugeno models , 2009, Fuzzy Sets Syst..

[11]  Neil E. Cotter,et al.  The Stone-Weierstrass theorem and its application to neural networks , 1990, IEEE Trans. Neural Networks.

[12]  Antonio Sala,et al.  Invariant sets of nonlinear models via piecewise affine Takagi-Sugeno models , 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[13]  Eduardo D. Sontag,et al.  Control-Lyapunov functions , 1999 .

[14]  Alberto Bemporad,et al.  The explicit linear quadratic regulator for constrained systems , 2003, Autom..

[15]  Carlos Ariño,et al.  Estimación del dominio de atracción de sistemas no lineales mediante modelos borrosos polinomiales , 2012 .

[16]  Thierry-Marie Guerra,et al.  Controller Design for TS Models Using Delayed Nonquadratic Lyapunov Functions , 2015, IEEE Transactions on Cybernetics.

[17]  Antonio Sala,et al.  A Triangulation Approach to Asymptotically Exact Conditions for Fuzzy Summations , 2009, IEEE Transactions on Fuzzy Systems.

[18]  Antonio Sala,et al.  Subspace-Based Takagi–Sugeno Modeling for Improved LMI Performance , 2017, IEEE Transactions on Fuzzy Systems.

[19]  B. Reznick,et al.  A new bound for Pólya's Theorem with applications to polynomials positive on polyhedra , 2001 .

[20]  E. Kerrigan Robust Constraint Satisfaction: Invariant Sets and Predictive Control , 2000 .

[21]  Antonio Sala,et al.  Guaranteed cost control analysis and iterative design for constrained Takagi-Sugeno systems , 2010, Eng. Appl. Artif. Intell..

[22]  Antonio Sala,et al.  Reliability and time‐to‐failure bounds for discrete‐time constrained Markov jump linear systems , 2017 .

[23]  Thierry-Marie Guerra,et al.  Nonquadratic Stabilization Conditions for a Class of Uncertain Nonlinear Discrete Time TS Fuzzy Models: A New Approach , 2008, IEEE Transactions on Automatic Control.

[24]  Antonio Sala,et al.  Relaxed Stability and Performance LMI Conditions for Takagi--Sugeno Fuzzy Systems With Polynomial Constraints on Membership Function Shapes , 2008, IEEE Transactions on Fuzzy Systems.

[25]  Antonio Sala,et al.  Cancellation-Based Nonquadratic Controller Design for Nonlinear Systems via Takagi–Sugeno Models , 2017, IEEE Transactions on Cybernetics.

[26]  J. Suykens,et al.  The efficient computation of polyhedral invariant sets for linear systems with polytopic uncertainty , 2005, Proceedings of the 2005, American Control Conference, 2005..

[27]  Antonio Sala,et al.  Polynomial Fuzzy Models for Nonlinear Control: A Taylor Series Approach , 2009, IEEE Transactions on Fuzzy Systems.

[28]  Kazuo Tanaka,et al.  A fuzzy Lyapunov approach to fuzzy control system design , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[29]  Antonio Sala,et al.  Asymptotically necessary and sufficient conditions for stability and performance in fuzzy control: Applications of Polya's theorem , 2007, Fuzzy Sets Syst..

[30]  Thierry-Marie Guerra,et al.  Construction of extended Lyapunov functions and control laws for discrete-time TS systems , 2012, 2012 IEEE International Conference on Fuzzy Systems.

[31]  Kazuo Tanaka,et al.  Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: quadratic stabilizability, H∞ control theory, and linear matrix inequalities , 1996, IEEE Trans. Fuzzy Syst..

[32]  Kazuo Tanaka,et al.  Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .

[33]  Antonio Sala,et al.  Polytopic invariant and contractive sets for closed-loop discrete fuzzy systems , 2014, J. Frankl. Inst..

[34]  Antonio Sala,et al.  On the conservativeness of fuzzy and fuzzy-polynomial control of nonlinear systems , 2009, Annu. Rev. Control..

[35]  Franco Blanchini,et al.  Set invariance in control , 1999, Autom..

[36]  Thierry-Marie Guerra,et al.  LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form , 2004, Autom..

[37]  Karl-Erik Årzén,et al.  Piecewise quadratic stability of fuzzy systems , 1999, IEEE Trans. Fuzzy Syst..

[38]  J. Lauber,et al.  An Efficient Lyapunov Function for Discrete T–S Models: Observer Design , 2012, IEEE Transactions on Fuzzy Systems.

[39]  E. Michael Continuous Selections. I , 1956 .

[40]  Eduardo Sontag A universal construction of Artstein's theorem on nonlinear stabilization , 1989 .

[41]  Carlos Ariño,et al.  Maximal closed loop admissible set for linear systems with non-convex polyhedral constraints , 2011 .

[42]  Zvi Artstein,et al.  Feedback and invariance under uncertainty via set-iterates , 2008, Autom..

[43]  Mato Baotic,et al.  Multi-Parametric Toolbox (MPT) , 2004, HSCC.