Developments in control theory towards glocal control /

Drawing upon a collection of research articles from celebrated authors in the field of control theory and its applications, this Festschrift honours the work of Professor Shinji Hara, and lays a solid foundation towards the 'glocal control' theory.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: Institution of Engineering and Technology
Otros Autores: Qiu, Li, 1961-, Hara, Shinji, 1952-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK : Institution of Engineering and Technology, 2012.
Colección:IET control engineering series ; 76.
Temas:
Control theory > Congresses.
Control theory > Mathematical models > Congresses.
Théorie de la commande > Congrès.
Théorie de la commande > Modèles mathématiques > Congrès.
MATHEMATICS > Calculus.
MATHEMATICS > Mathematical Analysis.
Control theory.
Control theory > Mathematical models.
networked control systems.
nonlinear dynamical systems.
optimal control.
robust control.
Conference papers and proceedings.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Pt. I Robust and Optimal Control
  • 1.Measurement-based control design for unknown systems
  • Abstract
  • 1.1.Introduction
  • 1.2.Linear networks
  • 1.3.Controller design for an unknown system
  • 1.4.Concluding remarks
  • Acknowledgment
  • References
  • 2.Quantized linear quadratic Gaussian control for scalar systems
  • Abstract
  • 2.1.Introduction
  • 2.2.Problem statement
  • 2.3.Weak separation principle and quantized state estimation
  • 2.4.Quantized LQG control for a scalar system
  • 2.5.Conclusion
  • References
  • 3.Robust H[∞] filter design for nonuniformly sampled systems
  • Abstract
  • 3.1.Introduction
  • 3.2.Problem statement
  • 3.3.Preliminaries
  • 3.4.Main results
  • 3.4.1.Analysis
  • 3.4.2.Design
  • 3.5.Numerical example
  • 3.6.Concluding remarks
  • Acknowledgment
  • References
  • 4.Analysis of frequency response across switching
  • Abstract
  • 4.1.Introduction
  • 4.2.Problem statement
  • 4.3.Main results
  • 4.4. Numerical example
  • References
  • 5. Optimal tracking and power allocation over AWN feedback channels
  • Abstract
  • 5.1. Introduction
  • 5.2. Preliminaries and problem formulation
  • 5.3. Stabilizability
  • 5.4. Optimal tracking performance
  • 5.5. Conclusion
  • Acknowledgments
  • References
  • 6. Stability analysis for a class of Hamiltonian systems with digital control
  • Abstract
  • 6.1. Introduction
  • 6.2. Problem setup
  • 6.3. Main results
  • 6.3.1. Robustness analysis approach
  • 6.3.2. Stability analysis
  • 6.4. Numerical example
  • 6.5. Conclusion
  • References
  • pt. II Mathematical System and Control Theory
  • 7. Maximizing mutual information between random variables and applications to order reduction of stochastic processes
  • Abstract
  • 7.1. Introduction
  • 7.2. The variation of information metric
  • 7.3. MMI as an optimization problem
  • 7.4.A greedy algorithm for MMI in the n x m case
  • 7.5. All optimal reduced-order approximations are aggregations
  • 7.6. Finding an optimal aggregation: a reformulation
  • 7.7. Conclusions
  • Acknowledgment
  • References
  • 8. On compact sets in the graph topology
  • Abstract
  • 8.1. Introduction
  • 8.2. Preliminaries
  • 8.2.1. Coprimeness
  • 8.2.2. The graph topology
  • 8.3. On compact sets in the graph topology
  • 8.3.1. MIMO case
  • 8.4. Application to approximate system design
  • 8.4.1. Approximation in sampled-data systems
  • 8.4.2. General approximation results
  • References
  • 9. Matrix pencils in time and frequency domain system identification
  • Abstract
  • 9.1. Introduction
  • 9.2. Frequency domain system identification
  • 9.3. Time domain system identification
  • 9.3.1. Subspace identification
  • 9.3.2. Matrix pencil approach
  • 9.3.2.1. Zero initial conditions
  • 9.3.2.2. Example
  • 9.4. Conclusion
  • References
  • 10. Identification of nonparametric piecewise affine models via data compression
  • Abstract
  • 10.1. Introduction
  • 10.2. Data-based PWA map
  • 10.3. Problem description
  • 10.4. Identification based on data compression
  • 10.4.1. Measure of model complexity
  • 10.4.2. Reduction to optimization problem
  • 10.5. Experiment with a DC motor system
  • 10.6. Conclusion
  • References
  • 11. Performance benefits in two-axle railway vehicle suspensions employing inerters
  • Abstract
  • 11.1. Introduction
  • 11.2. Background on the inerter
  • 11.3. Two-axle railway vehicles models and track inputs
  • 11.4. Candidate suspension structures
  • 11.5. Performance benefits of minimizing the vertical body acceleration J1
  • 11.6. Concluding remarks
  • Acknowledgment
  • References
  • 12. Stabilization of quantum spin systems via continuous feedback control
  • Abstract
  • 12.1. Introduction
  • 12.2. Formulation
  • 12.3. Main result
  • 12.4. Numerical example
  • 12.5. Conclusion
  • References
  • pt. III Networked Dynamical Systems and Glocal Control
  • 13.Combining distance-based formation shape control with formation translation
  • Abstract
  • 13.1. Introduction
  • 13.2. Review of background theory
  • 13.2.1. Notation
  • 13.2.2. Shape control
  • 13.2.3. Flocking behavior
  • 13.3.Combining shape control and flocking
  • 13.3.1. Undirected consensus graph
  • 13.3.2. Undirected consensus graph except for introduction of leader
  • 13.3.3. Directed consensus graph
  • 13.4. Simulations
  • 13.5. Conclusions
  • Acknowledgments
  • References
  • 14. Energy management in wireless sensor networks
  • Abstract
  • 14.1. Introduction
  • 14.1.1. Pervasive networked sensing
  • 14.1.2. Energy management
  • 14.1.3. Summary of results
  • 14.2. Problem formulation
  • 14.2.1. System setup
  • 14.2.2. Battery modeling
  • 14.2.3. Task abstraction
  • 14.2.4. System lifetime
  • 14.2.5. Energy state estimation and certainty equivalence
  • 14.3. Main results: no random failures
  • 14.4. Main results: random failures
  • 14.5. Conclusions and future work
  • 18. Glocal control for natural oscillations
  • Abstract
  • 18.1. Introduction
  • 18.2. Problem formulation and approach
  • 18.2.1. Problem statement
  • 18.2.2. Multivariable harmonic balance
  • 18.3. Natural entrainment analysis
  • 18.3.1. The MHB condition
  • 18.3.2. Stability analysis and existence of oscillations
  • 18.4. Conclusion
  • Acknowledgment
  • References.

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