L'introduzione ai metodi dello spazio di stato comprende il controllo del feedback; la rappresentazione dello spazio di stato dei sistemi dinamici e la dinamica dei sistemi lineari; l'analisi del dominio di frequenza; la controllabilità e l'osservabilità; e la definizione della risposta dinamica. Ulteriori argomenti comprendono osservatori lineari; progettazione del compensatore mediante il principio di separazione; controllo ottimale lineare e quadratico; processi casuali; e filtri di Kalman. Edizione del 1986.
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Preface 1. Feedback Control 2. State-Space Representation of Dynamic Systems 3. Dynamics of Linear Systems 4. Frequency-Domain Analysis 5. Controllability and Observability 6. Shaping the Dynamic Response 7. Linear Observers 8. Compensator Design by the Separation Principle 9. Linear, Quadratic Optimum Control 10. Random Processes 11. Kalman Filters: Optimum Observers Appendix Bibliography Indexes
Book by Friedland Bernard
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Paperback. Condizione: new. Paperback. Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition. Addressed not only to students but also to professional engineers and scientists, this volume introduces state-space methods for direct applications to control system design, in addition to providing background for reading the periodical literature. Its presentation, therefore, is suitable both for those who require methods for achieving results and those more interested in using results than in proving them. Topics include feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; and shaping the dynamic response. Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters. Concrete examples of how state-space methods can be used to advantage in several representative applications are woven into the fabric of the text and the homework problems. Many of the models are drawn from aerospace and inertial instrumentation; other examples are derived from chemical process control, maritime operations, robotics, and energy systems. Introduction to state-space methods covers feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; shaping the dynamic response; more. 1986 edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780486442785
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