Distributed problem solving (DPS) is a subfield of Multi-Agent Systems (MAS) concerned with using systems of agents to solve large-scale, distributed problems like data interpretation in sensor networks. Methods for producing effective coordination strategies for DPS systems, is an active area of research. Because there are not yet approaches that can automatically produce such strategies for m...

in this paper, distributed parameter process systems behavior is studied in frequency domain. based on the dominant gain concept that is developed for such studies, a method is presented to control distributed parameter process systems. by using dominant gain concept, the location of open loop zeros, resulted from the time delay parameter in the process model, were changed from the right half p...

Approximate dynamic programming (ADP) is a model based control technique suitable for nonlinear systems. Application of ADP to distributed parameter systems (DPS) which are described by partial differential equations is a computationally intensive task. This problem is addressed in literature by the use of reduced order models which capture the essential dynamics of the system. Order reduction ...