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Proceedings ArticleDOI

Singular LQR control, impulse-free interconnection and optimal PD controller design

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TLDR
This paper considers the LQR control problem with no penalty on the input and shows that here the optimal controller is no longer a static controller but a PD controller, and proves that the initial conditions for which states of the autonomous have optimal cost 0.
Abstract
In this paper we consider the LQR control problem with no penalty on the input; this is addressed in the literature as the singular LQR control problem. We show that here the optimal controller is no longer a static controller but a PD controller. We also show that the closed loop system, i.e. the controlled system is a singular state space system. Singular system brings in the concern of existence of inadmissible initial conditions, i.e. initial conditions for which the solution is impulsive. Our main result is that there are no inadmissible initial conditions in the controlled system if and only if states which have relative degree one with respect to the input are penalised. Though the Algebraic Riccati equation is not defined for the singular case, we use the notion of storage function in dissipative systems theory to obtain the optimal cost function explicitly in terms of the initial conditions. We use this to prove that the initial conditions for which states of the autonomous (i.e. closed loop), singular system immediately jump to 0 have optimal cost 0. Our result that the optimal controller is a PD controller underlines a key intuitive statement for the dual problem, namely the Kalman-Bucy filter when measurements are noiseless: the minimum variance estimator differentiates the noiseless measurements. The MIMO case is not dealt in this paper due to space constraints and since it involves controllability indices and Forney indices in the result statements and proofs.

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Citations
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A geometric approach to the singular filtering problem

TL;DR: In this paper, the least squares filtering problem for a stationary Gaussian process when the observation is not fully corrupted by white noise, the so-called singular case, is considered and an optimal estimator is constructed consisting of an integrating part, which is, as in the regular case, computed from a spectral factorization or an equivalent matrix problem, and a differentiating part whose parameters are computed from single matrix equation.
References
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Journal ArticleDOI

A generalized state-space for singular systems

TL;DR: In this article, a generalized definition of system order that incorporates these impulsive degrees of freedom is proposed, and concepts of controllability and observability are defined for the impulsive modes.
Journal ArticleDOI

Introduction to Mathematical Systems Theory: A Behavioral Approach

TL;DR: In this article, the authors use the behavioral approach towards mathematical modeling of linear time-invariant systems, where a system is viewed as a dynamical relation between manifest and latent variables, and the trajectories of such systems can be partitioned in free inputs and bound outputs.
Book

Stochastic Models, Estimation and Control: Volume 1

TL;DR: In this paper, the basic concepts of stochastic control and dynamic programming are introduced as the fundamental means of synthesizing optimal control laws, and the authors build upon the foundations set in Volumes 1 and 2.
Book

Introduction to Mathematical Systems Theory: A Behavioral Approach

TL;DR: In this article, the authors use the behavioral approach towards mathematical modeling of linear time-invariant systems, where a system is viewed as a dynamical relation between manifest and latent variables, and the trajectories of such systems can be partitioned in free inputs and bound outputs.
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