fuel cells belong to an avant-garde technology family for a wide variety of applications including micro-power, transportation power, stationary power for buildings and other distributed generation applications. the first objective of this contribution is to find a suitable reduced model of a solid oxide fuel cell (sofc). the derived reduced model is then used to design a state estimator. in th...

In the paper a web-based control design environment for distributed parameter systems control education is presented. It is arranged on www.dpscontrol.sk and includes: full downloadable demo version of Distributed Parameter Systems Blockset for MATLAB & Simulink with Show, Demos and DPS Wizard – third-party MathWorks product; web Service for support control solutions via internet and internet m...

This paper investigates the control problem of distributed parameter systems (DPS) with time-varying delay by employing mobile actuator-sensor networks. It is assumed that each agent in the networks has a sensor device which can measure spatial state, and an actuator device that can dispense control signals to spatially distributed process and can communicate with its neighbors. To better contr...

© 2012 Belavý et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Robust Control of Distributed Parameter Systems with Demonstration in Casting Technol...

A generalized simplified model for describing the dynamic behavior of distributed parameter systems is proposed. The various specific characteristics of gain and phase angle of distributed parameter systems are investigated from frequency response formulation and complex plane representation of the proposed simplified model. The complex plane investigation renders some important inequality cons...

Tools for building production systems encounter the problem of low performance, and many researchers are working on the improvements of performance of these tools. This paper proposes a distributed approach for inferring production systems. The resulting distributed production systems are expected to be built over distributed systems with broadcast capability, and production rules on different ...

In the last decade, the Computational Intelligence tools (CI), including Artificial Neural Networks (ANN) and Fuzzy Systems (FS), applying soft computing, became universal means for many applications. Because of their approximation and learning capabilities, the ANNs have been widely employed to dynamic process modeling, identification, prediction and control, (Boskovic & Narendra, 1995; Haykin...

This note contains a description of the concepts of spreadability and feedback spreading control (FSC) for distributed parameter systems (DPS), the approaches used until now along with applications and a list of references to works including peer-reviewed papers, communications to international meetings and theses. Distributed biophysical processes usually involve spreads in space, e.g. biologi...

A fuzzy logic controller with interval-valued inference mechanism is presented for the control of distributed parameter system (DPS). Interval-valued fuzzy set, a special case of type-2 fuzzy set, is innovatively designed to cope with the spatial information of distributed parameter systems. The proposed fuzzy logic controller is composed of six modules: fuzzifier, fuzzy composition, rules, inf...

An effective modeling method for nonlinear distributed parameter systems (DPSs) is critical for both physical system analysis and industrial engineering. In this paper, we propose a novel DPS modeling approach, in which a high-order nonlinear Volterra series is used to separate the time/space variables. With almost no additional computational complexity, the modeling accuracy is improved more t...