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Command-control for Real-time Systems.
A real-time system is a complex system which is an integral part of an industrial or experimental system, a vehicle or a construction machine. The peculiarity of these systems is that they are driven by real-time targets in distributed environments.Command-control for Real-time Systems presents the...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Wiley,
2013.
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| Colección: | ISTE.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Chadli, Mohammed. | |
| 245 | 1 | 0 | |a Command-control for Real-time Systems. |
| 260 | |a Hoboken : |b Wiley, |c 2013. | ||
| 300 | |a 1 online resource (380 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a ISTE | |
| 505 | 0 | |a Cover; Title Page; Contents; Chapter 1. Introduction; Chapter 2. Modeling Tools; 2.1. Introduction; 2.2. Models; 2.2.1. Knowledge models; 2.2.2. Behavioral models; 2.3. The classic parametric identification methods; 2.3.1. Graphic methods; 2.3.2. Algorithmic methods; 2.3.3. Validation and estimation of the model identified; 2.4. Multi-model approach; 2.4.1. Introduction; 2.4.2. Techniques for obtaining multi-models; Chapter 3. Control Tools; 3.1. Linear controls; 3.1.1. The PID corrector; 3.1.2. The Smith predictor; 3.1.3. Predictive functional control; 3.1.4. Generalized predictive control. | |
| 505 | 8 | |a 3.1.5. The RST controller3.1.6. Implementation of the advance algorithms on a programmable logic controller: results; 3.2. Multi-model control; 3.2.1. Introduction; 3.2.2. Stability analysis; 3.2.3. State feedback control; 3.2.4. Reconstructed state feedback control; 3.2.5. Static output feedback control; 3.2.6. Conclusion; 3.3. Bibliography; Chapter 4. Application to Cryogenic Systems; 4.1. Introduction; 4.1.1. Cryogenics and its applications at CERN; 4.1.2. Some basics about cryogenics; 4.2. Modeling and control of a cryogenic exchanger for the NA48 calorimeter at CERN. | |
| 505 | 8 | |a 4.2.1. Description of the cryogenic installations in the NA48 calorimeter4.2.2. Thermal model; 4.2.3. The TDC (Time Delay Control) corrector: application to a liquid-krypton cryogenic exchanger; 4.3. Modeling and control of the cryogenics of the ATLAS experiment at CERN; 4.3.1. Context and objectives of the study; 4.3.2. Process of identification of cryogenic systems; 4.3.3. Experimental protocol of parametric identification; 4.3.4. Mono-variable system; 4.3.5. Compensation for the delay with a Smith controller based on the PI corrector UNICOS; 4.3.6. Multi-variable system; 4.4. Conclusion. | |
| 505 | 8 | |a 4.4.1. Motivations4.4.2. Main contributions; 4.5. Appendices; 4.5.1. Appendix A; 4.6. Bibliography; Chapter 5. Applications to a Thermal System and to Gas Systems; 5.1. Advanced control of the steam temperature on exiting a superheater at a coal-burning power plant; 5.1.1. The issue; 5.1.2. The internal model corrector (IMC); 5.1.3. Multi-order regulator: 4th-order IMC; 5.1.4. Results; 5.2. Application to gas systems; 5.2.1. The gas systems; 5.2.2. The major regulations; 5.2.3. The control system and acquisition of measurements; 5.2.4. Modeling, identification and experimental results. | |
| 505 | 8 | |a 5.3. Conclusion5.4. Bibliography; Chapter 6. Application to Vehicles; 6.1. Introduction; 6.2. Hydraulic excavator-loader; 6.2.1. Conventional manual piloting; 6.3. Principle of movement of a part of the arm; 6.3.1. Role of the drivers; 6.3.2. Objectives; 6.3.3. Functional specification of the interface; 6.3.4. Limit of articular position and velocities; 6.3.5. Articular limits; 6.3.6. Limits of the articular velocities; 6.3.7. 3D simulation; 6.3.8. Onboard computer architecture; 6.3.9. Conclusion; 6.4. Automobiles; 6.4.1. Models of automobiles; 6.4.2. Validation of the vehicle models. | |
| 500 | |a 6.4.3. Robust control of a vehicle's dynamics. | ||
| 520 | |a A real-time system is a complex system which is an integral part of an industrial or experimental system, a vehicle or a construction machine. The peculiarity of these systems is that they are driven by real-time targets in distributed environments.Command-control for Real-time Systems presents the calculation of correction for industrial systems of different physical natures, their implementation on real-time target industrial systems (PLC-SCADA, embedded systems with distributed networks, Networked Control Systems) and their validation by simulation. It optimizes industrial p. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Real-time control. | |
| 650 | 6 | |a Commande en temps réel. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Automation. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Robotics. |2 bisacsh | |
| 650 | 7 | |a Real-time control |2 fast | |
| 700 | 1 | |a Coppier, Herve. | |
| 758 | |i has work: |a Command-control for real-time systems (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFymbfrMcHc9Q9jf3h8W8P |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Chadli, Mohammed. |t Command-control for Real-time Systems. |d Hoboken : Wiley, ©2013 |z 9781848213654 |
| 830 | 0 | |a ISTE. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=1183915 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL1183915 | ||
| 938 | |a EBSCOhost |b EBSC |n 573950 | ||
| 994 | |a 92 |b IZTAP | ||