✦ LIBER ✦

Concepts and methods for discrete and continuous time control under uncertainty

✍ Scribed by Wolfgang J. Runggaldier

Publisher: Elsevier Science
Year: 1998
Tongue: English
Weight: 845 KB
Volume: 22
Category: Article
ISSN: 0167-6687
DOI: 10.1016/s0167-6687(98)00006-7

No coin nor oath required. For personal study only.

✦ Synopsis

We present some concepts and solution methods for finite horizon control problems under uncertainty in discrete as well as continuous time. We discuss exact and approximate solution methods and mention possible applications. The uncertainty is mainly of a stochastic nature, but also other forms of uncertainty are considered.

📜 SIMILAR VOLUMES

Explicit solutions for multivariate, dis

Explicit solutions for multivariate, discrete-time control problems under uncertainty

✍ P.Dai Pra; L. Meneghini; W.J. Runggaldier 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 110 KB

We consider discrete time control problems, where only the support sets of the initial condition and of the disturbances are known. We study the applicability of the DP method and, as a counterpart of the LQ problem of the stochastic setting, we present a problem that admits an explicit analytic sol

Local stabilization for linear discrete-

Local stabilization for linear discrete-time systems with bounded controls and norm-bounded time-varying uncertainty

✍ Sophie Tarbouriech; Germain Garcia 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 139 KB 👁 2 views

The problem of the local stabilization of linear discrete-time systems subject to bounded controls and suffering from uncertainty of the norm-bounded time-varying type is addressed. From the solution of a certain discrete Riccati equation, a control gain and a set of safe initial conditions are obta

An identification method for MIMO contin

An identification method for MIMO continuous-time systems via iterative learning control concepts

✍ Fumitoshi Sakai; Toshiharu Sugie 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 280 KB

## Abstract This paper presents an identification method based on an iterative learning control (ILC) concept for the multivariable continuous‐time system. For this purpose a projection type ILC, which updates the input in an appropriate parameter space, is extended to the case of multivariable sys

Topological conditions enabling use of h

Topological conditions enabling use of harris methods in discrete and continuous time

✍ R. L. Tweedie 📂 Article 📅 1994 🏛 Springer Netherlands 🌐 English ⚖ 730 KB

A hierarchical multiple model adaptive c

A hierarchical multiple model adaptive control of discrete-time stochastic systems for sensor and actuator uncertainties

✍ Keigo Watanabe; Spyros G. Tzafestas 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 912 KB

A flexible design algorithm for hierarchical multiple model adaptive control, under the assumption that the central and any local stations have different knowledge of the hypotheses on the unknown parameters, can be applied for constructing a failure detection and identification system in a decentra

Fast and stable recursive algorithms for

Fast and stable recursive algorithms for continuous-time and discrete-time model conversions

✍ L.S. Shieh; S.R. Lian; C.B. Park; N.P. Coleman 📂 Article 📅 1987 🏛 Elsevier Science 🌐 English ⚖ 953 KB