We consider quadratic stochastic programs with random recourse — a class of problems which is perceived to be computationally demanding. Instead of using mainstream scenario tree-based techniques, we reduce computational complexity by restricting the space of recourse decisions to those linear and quadratic in the observations, thereby obtaining an upper bound on the original problem. To estima...

We propose a model validation procedure that consists of a prediction error identi6cation experiment with a full order model. It delivers a parametric uncertainty ellipsoid and a corresponding set of parameterized transfer functions, which we call prediction error (PE) unceminty set. Such uncertainty set differs from the classical uncertainty descriptions used in robust control analysis and des...

In this paper, the dynamic model of a three-level neutral point clamped (NPC) converter with neutral-point voltage-balance control (NPVBC) and input power factor correction for high-speed railway tractions is derived. And accordingly, a feedback controller is designed to meet the given voltage regulation control specifications. As the variation of converter parameters occurs, a compensation sig...

Our goal is to build robust optimization problems for making decisions based on complex data from the past. In robust optimization (RO) generally, the goal is to create a policy for decision-making that is robust to our uncertainty about the future. In particular, we want our policy to best handle the the worst possible situation that could arise, out of an uncertainty set of possible situation...

This paper introduces an analysis of the phenomena of stability of synchronous machines under small perturbations by examining the case of a single machine connected to a large system through external impedance, and uses robust control H∞ techniques to design stabilizer for electric power system. H techniques that are used are H -optimal controller synthesis, H mixed sensitivity controller synt...

This paper presents a robust control scheme for flexible link robotic manipulators, which is based on considering the flexible mechanical structure as a system with slow (rigid) and fast (flexible) modes that can be controlled separately. The rigid dynamics is controlled by means of a robust sliding-mode approach with wellestablished stability properties while an LQR optimal design is adopted f...

Key Words-Parameter-dependent Lyapunov functions; constant real parameter uncertainty; robust stability and performance. Almhmct-Parameterodependent Lyapunov functions are developed for discrete-time systems with constant real parameter uncertainty. This construction of a family of Lyapanov functions is then used to analyze robust stability with He performance bounds for state space systems. A ...

In this paper, the problem of devising a fault-tolerant robust control for a class of nonlinear uncertain systems is investigated. Possible failures of the sensor measuring the state variables are considered, and a robust measure is developed to identify the stabilityand performance-vulnerable failures. Based on evaluation of the robust measure, a fault-tolerant robust control will switch itsel...

1Department of Control and Instrumentation Engineering, Seoul National University of Technology, 172 Gongneung 2-dong, Nowon-gu, Seoul 139-743, Korea 2Systems Biology Lab, Department of Engineering, University of Leicester, University Road, Leicester LE1 7RH, U.K. 3Department of Biology, University of Leicester, University Road, Leicester LE1 7RH, U.K. 4Department of Bio and Brain Engineering, ...

A new robust controller design method is proposed to obtain a less conservative feedback controller and it is applied to a single-link flexible manipulator. The objective is to maximize the control performance guaranteeing the robust stability when regulating the tip position of the flexible manipulator in the presence of a large time-varying payload and parameter uncertainties such as stiffnes...