Least regret control, virtual control and decomposition methods
نویسندگان
چکیده
"Least regret control" consists in trying to fmd a control which "optimizes the situation" with the constraint of not making things too worse with respect to a known référence control) in présence of more or less significant perturbations. This notion was introduced in [7]. It is recalled on a simple example (an elliptic System, with distributed control and boundary perturbation) in Section 2. We show that the problem reduces to a standard optimal control problem for augmented state équations. On another hand, we have introduced in recent notes [9-12] the method of virtual control, aimed at the "décomposition of everything" (décomposition of the domain, of the operator, etc). An introduction to this method is presented, without a priori knowledge needed, in Sections 3 and 4, directly on the augmented state équations. For problems without control, or with "standard" control, numerical applications of the virtual control ideas have been given in the notes [9-12] and in the note [5]. One of the first systematic paper devoted to all kind of décomposition methods, including multicriteria, is a joint paper with A. Bensoussan and R. Temam, to whom this paper is dedicated, cf. [1]. Mat hématies Subject Classification. 49A22, 35J99. Received: October 18, 1999.
منابع مشابه
Designing a new robust control for virtual inertia control in the microgrid with regard to virtual damping
Background and Objectives: Virtual inertia control, as a component of a virtual synchronous generator, is used for the implementation of synchronous generator behaviour in microgrids. In microgrids that include high-capacity distributed generation resources, in addition to virtual inertia, virtual damping can also lead to improvement of frequency stability of the microgrid. The purpose of the c...
متن کاملSolving linear and nonlinear optimal control problem using modified adomian decomposition method
First Riccati equation with matrix variable coefficients, arising in optimal and robust control approach, is considered. An analytical approximation of the solution of nonlinear differential Riccati equation is investigated using the Adomian decomposition method. An application in optimal control is presented. The solution in different order of approximations and different methods of approximat...
متن کاملRegret Bounds for the Adaptive Control of Linear Quadratic Systems
We study the average cost Linear Quadratic (LQ) control problem with unknown model parameters, also known as the adaptive control problem in the control community. We design an algorithm and prove that apart from logarithmic factors its regret up to time T is O( √ T ). Unlike previous approaches that use a forced-exploration scheme, we construct a high-probability confidence set around the mode...
متن کاملOn the Control of Ill-posed Distributed Parameter Systems
We show that the so-called low-regret (or least-regret) control by J. L. Lions [8] fits on the control of ill-posed problems. At each time, we give the characterization of the so-called no-regret control by means of singular optimality systems. For the backward heat ill-posed problem, no Slater hypothesis is assumed on the admissible set of controls Uad. This work is two pieces, and two methods...
متن کاملVirtual Flux Based Direct Power Control on Vienna Rectifier
This paper proposes the virtual flux based direct power control for Vienna rectifier. No need for the input voltage sensors, the current regulation loop and PWM voltage modulation block along with the active and reactive power decoupling are some of the salient advantages of this method that make it suitable for controlling the conventional active rectifiers. However, due to the three-level nat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017