Generalized Solutions of Riccati equations and inequalities D.Z. - - PowerPoint PPT Presentation

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Generalized Solutions of Riccati equations and inequalities D.Z. - - PowerPoint PPT Presentation

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.


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August 2017

Generalized Solutions of Riccati equations and inequalities

D.Z. Arov, M.A. Kaashoek, D.R. Pik

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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 x0 and input u0, u1, u2 ,... we compute the output y0, y1, y2,...

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Transfer function Starting at time 0 with initial state x0 = 0 and input u0, u1, u2 ,... we compute the output y0, y1, y2,... by multiplication

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

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The system is a dilation of the system if such that 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.

The system is a restriction of .

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The system is called passive if for each initial condition and input sequence The system matrix is a contraction. is a Schur class function is a Schur class 
 function

  • appears as the transfer function 

  • f a unitary system [Br, NF]
  • appears as the transfer function of a 


minimal and passive system. Two theorems

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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.

Finite dimensions

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Then there exists an invertible such that This implies that for : is passive. 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.

Finite dimensions

Given a rational Schur class function with minimal realization Kalman-Yakubovich-Popov Lemma

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

Finite dimensions

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Moore Penrose Inverse

Self-adjoint matrix Put and Then the Moore Penrose Inverse is defined by

Finite dimensions

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

Finite dimensions

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Schur complement Condition: We want to find positive and invertible H such that

Finite dimensions

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

Finite dimensions

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

Finite dimensions

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Example 1

Notation

Moore Penrose inverse

Finite dimensions

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  • 3. The condition

is the same as

  • 4. The Riccati equation

has one solution:

Example 1 (continued)

Moore Penrose inverse

  • 2. : no conditions on H.

Riccati function: 1.

Finite dimensions

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Riccati function:

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Example 2

Finite dimensions

  • 3. The condition

yields

  • 2. : : for we have

and so Riccati function: 1.

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Moore Penrose inverse

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Example 3 Schur class function

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

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

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

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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) Arlinskiī: The Kalman Yakubovich Popov inequality (OAM), 2008 Arov, Kaashoek, Pik: Generalized solutions of Riccati equalities and inequalities, Methods of Functional Analysis and Topology (2016)

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Definition: (finite dimensional case) is a generalized solution of the Riccati equation associated with if 1.

  • 2. -


3. and 4.

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

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Moore Penrose Inverse

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

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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.

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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.

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✤ 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 


  • f the Riccati equality 


and of the Riccati inequality have?
 Descriptions in the paper.

Final remarks

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