— Model reduction methods from diverse fields— including control, statistical mechanics and economics—aimed at systems that can be represented by Markov chains, are discusse...
Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matth...
— In this paper, adaptive control is presented for a class of parametric output feedback nonlinear systems with output constraint. Adaptive observer backstepping is adopted to ac...
Beibei Ren, Shuzhi Sam Ge, Keng Peng Tee, Tong Hen...
Abstract— We consider a distributed multi-agent network system where the goal is to minimize an objective function that can be written as the sum of component functions, each of ...
Abstract— Pursuit strategies (formulated using constantspeed particle models) provide a means for achieving cohesive behavior in systems of multiple mobile agents. In the present...
Kevin S. Galloway, Eric W. Justh, P. S. Krishnapra...
— The nullspace method is a powerful framework to solve the synthesis problem of fault detection filters in the most general setting. It is also well suited to address the least...
— In this paper, we present trajectory tracking and balancing of autonomous motorcycles for agile maneuvers. Based on the newly developed autonomous motorcycle dynamics in the co...
— This paper is concerned with understanding the connection between the existing Internet congestion control algorithms and the optimal control theory. The available resource all...
Abstract— Two-level quantum systems are important quantum models that are useful for the conceptual development and construction of quantum technologies. In this paper we provide...
Masahiro Yanagisawa, Alexander N. Korotkov, Matthe...
Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
Abstract— This paper presents a generalized Model Predictive Direct Torque Control scheme with an extended horizon, which is composed of multiple hinges (groups of switch transit...