— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
— This paper is concerned with modeling, analysis and optimization/control of occupancy evolution in a large building. The main concern is efficient evacuation of a building in ...
Kun Deng, Wei Chen, Prashant G. Mehta, Sean P. Mey...
— In this paper we consider the stabilisability of nonlinear dynamical systems via time-delayed state and output feedback control. Based on an eigenvalue optimisation approach in...
— Methods for direct data-driven tuning of the parameters of precompensators for LPV systems are developed. Since the commutativity property is not always satisfied for LPV syst...
Mark Edward John Butcher, Alireza Karimi, Roland L...
Abstract— This paper addresses passivity-based output synchronization and a collision avoidance problem of rigid bodies in the Special Euclidean group SE(3) under the assumption ...
Abstract— This paper studies robotic sensor networks performing coverage optimization tasks with area constraints. The network coverage of the environment is a function of the ro...
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
— Metabolic networks map the biochemical reactions in a living cell to the flow of various chemical substances in the cell, which are called metabolites. A standard model of a m...
A. Agung Julius, Marcin Imielinski, George J. Papp...
Abstract— This paper studies the gain margins (GM) of multivariable model reference adaptive control (MRAC) systems: the parameter range of a control gain matrix in a designed MR...