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Viability of Hybrid Systems
  • Language: en
  • Pages: 250

Viability of Hybrid Systems

The problem of viability of hybrid systems is considered in this work. A model for a hybrid system is developed including a means of including three forms of uncertainty: transition dynamics, structural uncertainty, and parametric uncertainty. A computational basis for viability of hybrid systems is developed and applied to three control law classes. An approach is developed for robust viability based on two extensions of the controllability operator. The three-tank example is examined for both the viability problem and robust viability problem. The theory is applied through simulation to an active magnetic bearing system and to a batch polymerization process showing that viability can be satisfied in practice. The problem of viable attainability is examined based on the controllability operator approach introduced by Nerode and colleagues. Lastly, properties of the controllability operator are presented.

Hybrid Systems: Computation and Control
  • Language: en
  • Pages: 530

Hybrid Systems: Computation and Control

  • Type: Book
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  • Published: 2003-06-29
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  • Publisher: Springer

This volume contains the proceedings of the Fourth Workshop on Hybrid - stems: Computation and Control (HSCC 2001) held in Rome, Italy on March 28-30, 2001. The Workshop on Hybrid Systems attracts researchers from in- stry and academia interested in modeling, analysis, synthesis, and implemen- tion of dynamic and reactive systems involving both discrete (integer, logical, symbolic) and continuous behaviors. It is a forum for the discussion of the - test developments in all aspects of hybrid systems, including formal models and computational representations, algorithms and heuristics, computational tools, and new challenging applications. The Fourth HSCC International Workshop continues the s...

Viability of Hybrid Systems
  • Language: en
  • Pages: 250

Viability of Hybrid Systems

The problem of viability of hybrid systems is considered in this work. A model for a hybrid system is developed including a means of including three forms of uncertainty: transition dynamics, structural uncertainty, and parametric uncertainty. A computational basis for viability of hybrid systems is developed and applied to three control law classes. An approach is developed for robust viability based on two extensions of the controllability operator. The three-tank example is examined for both the viability problem and robust viability problem. The theory is applied through simulation to an active magnetic bearing system and to a batch polymerization process showing that viability can be satisfied in practice. The problem of viable attainability is examined based on the controllability operator approach introduced by Nerode and colleagues. Lastly, properties of the controllability operator are presented.

Modelling, Analysis and Design of Hybrid Systems
  • Language: en
  • Pages: 494

Modelling, Analysis and Design of Hybrid Systems

  • Type: Book
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  • Published: 2003-07-01
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  • Publisher: Springer

In 1995, the Deutsche Forschungsgemeinschaft (DFG), the largest public research funding organization in Germany, decided to launch a priority program (Schw- punktprogramm in German) calledKondisk– Dynamics and Control of Systems with Mixed Continuous and Discrete Dynamics. Such a priority program is usually sponsored for six years and supports about twenty scientists at a time, in engineering andcomputersciencemostlyyoungresearchersworkingforadoctoraldegree. There is a yearly competition across all disciplines of arts and sciences for the funding of such programs, and the group of proposers was the happy winner of a slot in that year. The program started in 1996 after an open call for prop...

Nonlinear Model Based Process Control
  • Language: en
  • Pages: 883

Nonlinear Model Based Process Control

The ASI on Nonlinear Model Based Process Control (August 10-20, 1997~ Antalya - Turkey) convened as a continuation of a previous ASI which was held in August 1994 in Antalya on Methods of Model Based Process Control in a more general context. In 1994, the contributions and discussions convincingly showed that industrial process control would increasingly rely on nonlinear model based control systems. Therefore, the idea for organizing this ASI was motivated by the success of the first one, the enthusiasm expressed by the scientific community for continuing contact, and the growing incentive for on-line control algorithms for nonlinear processes. This is due to tighter constraints and constan...

Proceedings
  • Language: en
  • Pages: 400

Proceedings

The ASE conference is the major conference for theory and practice concerned with automating the software development process. Formerly known as Knowledge-Based Software Engineering (KBSE), the conference expanded in order to reach out to other scientific communities concerned with the automation aspects of formal methods, software process, human-computer interaction, requirements engineering, reverse engineering, testing and verification and validation, while still including an active artificial intelligence and knowledge-based research focus.

Biology of Serpins
  • Language: en
  • Pages: 461

Biology of Serpins

Serpins are a group of proteins with similar structures that were first identified as a set of proteins able to inhibit proteases. The acronym serpin was originally coined because many serpins inhibit chymotrypsin-like serine proteases. This volume of Methods in Ezymology is split into 2 parts and comprehensively covers the subject.

Hybrid Systems : Computation and Control
  • Language: en
  • Pages: 550

Hybrid Systems : Computation and Control

  • Type: Book
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  • Published: 2001
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  • Publisher: Unknown

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Nonlinear Model Based Process Control
  • Language: en
  • Pages: 916

Nonlinear Model Based Process Control

The increasingly competitive environment within which modern industry has to work means that processes have to be operated over a wider range of conditions in order to meet constantly changing performance targets. Add to this the fact that many industrial operations are nonlinear, and the need for on-line control algorithms for nonlinear processes becomes clear. Major progress has been booked in constrained model-based control and important issues of nonlinear process control have been solved. This text surveys the state-of-the-art in nonlinear model-based control technology, by writers who have actually created the scientific profile. A broad range of issues are covered in depth, from traditional nonlinear approaches to nonlinear model predictive control, from nonlinear process identification and state estimation to control-integrated design. Advances in the control of inverse response and unstable processes are presented. Comparisons with linear control are given, and case studies are used for illustration.

On Monitoring and Diagnosing Classes of Discrete Event Systems
  • Language: en
  • Pages: 322

On Monitoring and Diagnosing Classes of Discrete Event Systems

  • Type: Book
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  • Published: 2005
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  • Publisher: Unknown

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