Exact decentralized output-feedback Lyapunov-based designs of direct MRAC for linear interconnected systems with MIMO subsystems are introduced. The design process uses a coordinated decentralized structure of adaptive control with reference model coordination. We develop decentralized MRAC on the base of a priory information about only the local subsystems gain frequency matrices without addit...

This paper studies decentralized output-feedback control of large-scale nonlinear systems in the presence of sensor noise. The measurement errors are dealt with by set-valued maps in the recursive control design of the subsystems. With appropriately designed decentralized controllers, the subsystems are rendered input-to-state stable (ISS) with respect to the outputs of the other subsystems and...

Decentralized optimization has attracted much research interest for resource-limited networked multi-agent systems in recent years. Decentralized consensus optimization, which is one of the decentralized optimization problems of great practical importance, minimizes an objective function that is the sum of the terms from individual agents over a set of variables on which all the agents should r...

bilevel linear programming  is a decision making problem with a two-level decentralized organization. the textquotedblleft leadertextquotedblright~ is in the upper level and the textquotedblleft followertextquotedblright, in the lower. making a decision at one level affects that at the other one. in this paper, bilevel linear programming  with inexact parameters has been studied and a method is...

Background. Decentralization of care and treatment for HIV infection in Africa makes services available in local health facilities. Decentralization has been associated with improved retention and comparable or superior treatment outcomes, but patient experiences are not well understood. Methods. We conducted a qualitative study of patient experiences in decentralized HIV care in Plateau State,...

Using or extending Markov decision processes (MDPs) or partially observable Markov decision processes (POMDPs) to model multiagent decision problems has become an important trend. Generally speaking, there are two types of models: centralized ones and decentralized. The centralized ones focus on finding the best joint action given any global state, while the decentralied ones try to find out th...

In this paper, we address the problem of privacypreservation in decentralized optimization, where N agents cooperatively minimize an objective function that is the sum of N strongly convex functions private to these individual agents. In most existing decentralized optimization approaches, participating agents exchange and disclose estimates explicitly, which may not be desirable when the estim...

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy DECENTRALIZED CONTROL OF NETWORKS OF UNCERTAIN DYNAMICAL SYSTEMS By Justin Richard Klotz May 2015 Chair: Warren E. Dixon Major: Mechanical Engineering Multi-agent networks, such as teams of robotic systems, benefit from the ability to in...

this paper concerns the transmission of two independent gaussian sources over a two-user decentralized interference channel, assuming that the transmitters are unaware of the instantaneous csis. the availability of the channel state information at receivers (csir) is considered in two scenarios of perfect and imperfect csir. in the imperfect csir case, we consider a more practical assumption of...

The focus of this paper is a theoretical study of the design of complex engineering systems. More particularly, this paper studies the stability of equilibriums in decentralized design environments. Indeed the decomposition and coordination of decisions in the design of complex engineering systems is a great challenge. Companies who design these systems routinely allocate design responsibility ...