Multidisciplinary Research in Control

The Mohammed Dahleh symposium brought together leading researchers in several areas of engineering and science. Many of the presentations focused on new emerging research areas of key significance. These new areas have in common that the dynamics and control theory and methods provide the appropriate framework for the understanding of the corresponding phenomena, while at the same time providing many of the tools necessary for their application to relevant technologies. Examples of these opportunities include the areas of systems biology, quantum feedback and control, fluid dynamics, and control applications in nanotechnology. This collected volume demonstrates the importance of these emerging areas in the current research agenda in science and technology and shows that a unique opportunity exists to drastically extend the scope and impact of dynamics and control methods far beyond their traditional areas of application in engineering.

Leading scientists discussing new trends in control Includes supplementary material: sn.pub/extras

Inhalt
Mohammed Dahleh Legacy.- Legacy of Mohammed Dahleh.- Control in Networks and Communications.- A Control Theoretical Look at Internet Congestion Control.- Indelible Control.- Optimal Control Design under Structural and Communication Constraints.- Quantum Control.- Fifteen Years of Quantum Control: from Concept to Experiment.- Directions in the Theory of Quantum Control.- Micro and Nano-scale Dynamics and Control.- System tools applied to micro-cantilever based devices.- Micro-scale sensors and filters utilizing non-linear dynamic response of single and coupled oscillators.- Connections with Biology.- Feedback Regulation of the Heat Shock Response in E. coli.- Stem Cells from the Outside In.- Optimal Image Interpolation and Optical Flow.- Control and Identification.- Robustness of Finite State Automata.- On the role of homogeneous forms in robustness analysis of control systems.- Control of Electromechanical Actuators: Valves Tapping in Rhythm.- Learning complex systems from data: the Set Membership approach.- The mixing of state statistics.- Controllability, integrability and ergodicity.