Atjaunināt sīkdatņu piekrišanu

E-grāmata: Systems Modelling and Optimization Proceedings of the 18th IFIP TC7 Conference

, , , (Oakland University, Rochester, Michigan, USA), (University of Virginia, Charlottesville, USA)
  • Formāts - EPUB+DRM
  • Cena: 118,96 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

Top researchers in optimization and control from around the world gathered in Detroit for the 18th annual IFIP TC7 Conference on Systems Modelling and Optimization held in July 1997. The papers offered in this volume were selected from among the 250 plenary, invited, and contributed works presented at the conference. The editors chose these papers to represent the myriad and diverse range of topics within the field -in theory and applications-and to disseminate important new results.
The editors have organized the book into seven sections:

  • Distributed Parameter Systems
  • Modelling
  • Optimal Control and Nonsmoooth Analysis
  • Automotive
  • Optimization and Operations Research
  • Applications
    Reliability

    Each section contains important advances in theoretical development of optimization and control, new results, and discussions of applications. Treatment of numerous and wide- ranging applications-from turbulent flows, European option pricing, and storage location, to wear processes, passive fire protection, and robotics-make this resource important for academic and industrial researchers working in a variety of areas in systems engineering and applied mathematics.


  • Includes results on a variety of modelling and control applications, particularly automotive modelling and control, along with theoretical advances.
    Distributed Parameter Systems, Control of Turbulent Flows, Shape Control of Elastic Plates, L1-Closed Decomposable Sets in L*, Reliability, Sequential Change Point Detection and Estimation for Multiple Alternative Hypothesis, Modelling, Modelling Methodologies for Modelling Environments, An Advanced Modelling Environment Based on a Hybrid AI-OR Approach, Interactive Fuzzy Modelling System, Rule-Based Design and 2D-Analysis of a Hybrid System, A Mathematical Model for Control of Flexible Robot Arms, Automotive. Identification of Powertrain Noise in a Low SNR Environment Using Synchronous Time Averaging, Hot Wire Mass Air Flow Sensor Modelling and Lag Compensation, Dynamic Clustering Technique with Application to Onboard Traffic Monitoring, Modelling of Currents in a Zirconium Oxygen Sensor, Issue in Modelling and Control of Intake Flow in Variable Geometry Turbocharged Engines, Robust Controller Based on Smith Predictor for an Electric EGR Valve Control System, Applications, Robust Controller Design for a VTOL Plane, Optimal Control of Failure Prone Manufacturing Systems with Corrective Maintenance, Generation and Analysis of a Non-Linear Optimization Problem: European Ozone Model Case Study, Adaptive Stochastic Path Planning for Robots-Real Time optimization by Means of Neural Networks, Control of Molecular Dynamics/ part contents
    Michael P Pollis