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Generalized Solutions of Riccati equations and inequalities D.Z. Arov, M.A. Kaashoek, D.R. Pik August 2017 1 /30 Time-invariant system Time-invariant system with discrete time n A, B, C, D are bounded linear operators between Hilbert spaces.


  1. Generalized Solutions of Riccati equations and inequalities D.Z. Arov, M.A. Kaashoek, D.R. Pik August 2017 1 /30

  2. Time-invariant system Time-invariant system with discrete time n A, B, C, D are bounded linear operators between Hilbert spaces. Starting at time 0 with initial state x 0 and input u 0, u 1, u 2 ,... we compute the output y 0, y 1, y 2 ,... 2 /30

  3. Transfer function Starting at time 0 with initial state x 0 = 0 and input u 0, u 1, u 2 ,... we compute the output y 0, y 1, y 2 ,... by multiplication 3 /30

  4. A system is called a realization of if in a neighborhood of 0 . Two fundamental subspaces of the state space The system is controllable if The system is observable if 4 /30

  5. The system is a dilation of the system if such that The system is a restriction of . A system is minimal if it is not a dilation of any other (different) system. Prop. A system is minimal iff it is controllable and observable. 5 /30

  6. The system is called passive if for each initial condition and input sequence The system matrix is a contraction. Two theorems is a Schur class function - appears as the transfer function 
 is a Schur class 
 function of a unitary system [Br, NF] - appears as the transfer function of a 
 minimal and passive system. 6 /30

  7. Finite dimensions Finite dimensions Consider a rational -valued function , analytic in a neighborhood of 0, and let be a minimal realization of . State space similarity theorem : all minimal realizations of are given by where is an invertible matrix. 7 /30

  8. Finite dimensions Kalman-Yakubovich-Popov Lemma Given a rational Schur class function with minimal realization Then there exists an invertible such that is passive. This implies that for : In this case: A is stable. Conversely: if A is stable and satisfies the above inequality, then is a passive system and is in the Schur class. 8 /30

  9. Finite dimensions Schur complement Let be a minimal system and a rational Schur class function. We want to find positive and invertible H such that Schur complement ? Moore-Penrose inverse: 9 /30

  10. Finite dimensions Moore Penrose Inverse Self-adjoint matrix Put and Then the Moore Penrose Inverse is defined by 10 /30

  11. Finite dimensions Schur complement Let be a minimal system and a rational Schur class function. We want to find positive and invertible H such that Schur complement Moore-Penrose inverse: Condition: 11 /30

  12. Finite dimensions We want to find positive and invertible H such that Schur complement Condition: 12 /30

  13. Finite dimensions Definition: (finite dimensional case) is a generalized solution of the Riccati inequality associated with if 1. 2. 3. 4. 13 /30

  14. Finite dimensions Definition: (finite dimensional case) is a generalized solution of the Riccati equality associated with if 1. 2. 3. 4. 14 /30

  15. Finite dimensions Example 1 Notation Moore Penrose inverse 15 /30

  16. Finite dimensions Example 1 (continued) Moore Penrose inverse Riccati function: 1. 2. : no conditions on H. 3. The condition is the same as Riccati function: 4. The Riccati equation has one solution: 16 /30

  17. 17 /30

  18. Finite dimensions Example 2 Moore Penrose inverse 1. 2. : : for we have and so 3. The condition yields Riccati function: 18 /30

  19. 19 /30

  20. Example 3 Schur class function 20 /30

  21. Example 3, continued Schur class function Set of solutions to Riccati equation: Set of solutions to Riccati inequality, , 
 it has minimal element and maximal element . 21 /30

  22. Example 3, continued Set of solutions to Riccati equation: Set of solutions to Riccati inequality, , has minimal element and maximal element . 22 /30

  23. Example 3, continued One single solution to the Riccati equation and the inequality. 23 /30

  24. Infinite dimensions: obstacles • Two minimal systems with same transfer function need not be similar 
 So: we use pseudo-similarity (Helton 1974; Arov 1974) • Minimality not preserved under pseudo-similarity • For two minimal systems with same transfer function, 
 pseudo-similarity need not be unique Arov, Kaashoek, Pik: Minimal representations of a contractive operator as a product of two bounded operators, 
 Acta Sci. Math. (Szeged) 71, (2005) Arov, Kaashoek, Pik: The Kalman-Yakubovich-Popov inequality and infinite dimensional Discrete time Dissipative Systems, J. Operator Theory 55, (2006) Arlinski ī : The Kalman Yakubovich Popov inequality ( OAM ), 2008 Arov, Kaashoek, Pik: Generalized solutions of Riccati equalities and inequalities, Methods of Functional Analysis and Topology (2016) 24 /30

  25. Definition: (finite dimensional case) is a generalized solution of the Riccati equation associated with if 1. 2. - 
 3. and 4. 25 /30

  26. Definition: (infinite dimensional case) is a generalized solution of the Riccati equation associated with if ( ) 1. 2. is bounded, nonnegative and 3. 4. 26 /30

  27. Moore Penrose Inverse Bounded, self-adjoint operator Put and Then the Moore Penrose Inverse is defined by 27 /30

  28. Theorem 1 Let be a minimal system. If there exists a generalized solution to the Riccati equation associated 
 with , then the transfer function coincides with a Schur class function in a neighborhood of 0. 28 /30

  29. Theorem 2 Let be a minimal system such that its transfer function coincides with a Schur class function in a neighborhood of 0. Then there exists a generalized solution to the Riccati equation. Moreover, the set of all generalized solutions to the Riccati equation has a minimal element. 29 /30

  30. Final remarks ✤ We have finite and infinite dimensional examples 
 (but we wish for more) ✤ When does the generalized Riccati equality have one unique solution? (We have theorems in terms of ) ✤ What properties do the sets of solutions 
 of the Riccati equality 
 and of the Riccati inequality have? 
 Descriptions in the paper. 30 /30

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