TC 2.6. Distributed Parameter Systems


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The Technical Committee focuses on developing and fostering methods for modeling, analysis and control/observer design for distributed parameter systems described by linear and nonlinear partial differential equations.

This includes (but is not limited to) methods such as

differential geometric and algebraic approaches; semigroup and operator theory; Lyapunov-based and backstepping techniques; passivity and dissipativity; controllability and observability analysis; model reduction; computational methods; real-time control; actuator and sensor placement; experimental design; etc.

In addition, applications are considered covering, e.g.,

energy generation, distribution and storage; process intensification and chemical engineering; adaptive optics; quantum systems; distributed cooperative systems; modern embedded actuators and sensors; traffic and network congestion; flexible micro-structures; etc.


TC 2.6. Distributed Parameter Systems


Welcome Message from the Chair


Welcome to the official web-page of the IFAC Technical Committee 2.6 on Distributed Parameter Systems!


In general, the distributed parameter description becomes an essential ingredient of the modeling and analysis process if the spatial or property distribution of the system variables can not be neglected. Typical examples comprise chemical or biochemical reactors, thermal and electrochemical systems, smart and vibrating structures, flow problems, propagating waves, or systems for energy production, distribution and storage. The dynamic operation of these distributed parameter systems essentially relies on the incorporation of suitable control strategies to influence the system dynamics and to enlarge the operating range. In addition to the research impact distributed parameter systems have gained importance in various industrial applications.


It is one of the main goals of this Technical Committee to address these challenges by fostering the methodological development for modeling, analysis, and control of distributed parameter systems and by integrating these results into various classical and emerging application areas.


Prof. Ralph C. Smith