Low-Complexity Controllers for Time-Delay Systems.
By: Seuret, Alexandre.
Contributor(s): Özbay, Hitay | Bonnet, Catherine | Mounier, Hugues.Material type: TextSeries: eBooks on Demand.Advances in Delays and Dynamics: Publisher: Dordrecht : Springer, 2014Description: 1 online resource (245 p.).ISBN: 9783319055763.Subject(s): Linear systemsGenre/Form: Electronic books.Additional physical formats: Print version:: Low-Complexity Controllers for Time-Delay SystemsDDC classification: 629.8 Online resources: Click here to view this ebook.
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Preface; Contents; Acronyms; Part I Design Techniques; 1 State-Dependent Sampling for Online Control; 1.1 Introduction; 1.2 Problem Statement; 1.2.1 System Description; 1.2.2 Objectives; 1.3 Main Stability Result; 1.4 Self-Triggered Controller Design; 1.4.1 Convex Embedding Design Based on Taylor Polynomials; 1.4.2 Design of the Sampling Function τ for Given Parameters; 1.4.3 Optimization of the Parameters (Maximization of the Lower-Bound τ* of the Sampling Function); 1.5 Numerical Example; 1.5.1 Simulation Results; 1.5.2 Advantages of the Sampling Function's Lower-Bound Optimization
1.6 ConclusionAppendix; References; 2 Design of First Order Controllers for Unstable Infinite Dimensional Plants; 2.1 Introduction; 2.2 Problem Definition and Examples of Plants Considered; 2.3 A Sufficient Condition for Feedback System Stability; 2.4 PD and PI Controller Designs; 2.4.1 PD Controller Design; 2.4.2 PI Controller Design; 2.5 Conclusions and Future Extensions; References; 3 Anti-Windup Conditioning for Actuator Saturation in Internal Model Control with Delays; 3.1 Introduction; 3.2 Dimensionless Model of the Considered Plant
3.2.1 Identification of the Plant Model with a Given Step Response3.3 Internal Model Controller Design; 3.4 Utilizing the Ultimate Frequency in the IMC Design; 3.5 Windup-Observer Conditioning for the IMC Controller; 3.6 Tuning the Windup Observer to Optimize the Control Loop Response; 3.7 Application Example and the Tuning Rule; 3.8 Concluding Remarks; References; 4 Stabilization of Some Fractional Neutral Delay Systems Which Possibly Possess an Infinite Number of Unstable Poles; 4.1 Introduction; 4.2 Stabilizability Properties of Fractional Systems with Commensurate Delays
4.3 Parametrization of the Set of Stabilizing Controllers in a Particular Case4.4 Conclusion; References; 5 Controller Design for a Class of Delayed and Constrained Systems: Application to Supply Chains; 5.1 Introduction; 5.2 Problem Statement: Inventory and Production Control; 5.3 System Control Structure; 5.3.1 Order Rates and Control Structure; 5.3.2 The Closed-Loop System Dynamics; 5.3.3 Admissible Initial Conditions; 5.4 Controller Designing Issues; 5.5 Generalization for N-Stages Supply Chain; 5.6 Simulation Example and Discussions; 5.7 Conclusion and Perspectives; References
6 Delay Effects in Visual Tracking Problems for an Optronic Sighting System6.1 Automatic Visual Tracker; 6.2 Parametrizations of All Stabilizing Controllers; 6.3 Study of the Tracking Problem and Numerical Simulations; References; Part II Numerical Methods; 7 Tuning an H-Infinity Controller with a Given Order and a Structure for Interconnected Systems with Delays; 7.1 Introduction; 7.2 Motivating Examples; 7.3 Transfer Functions; 7.4 The Strong H-Infinity Norm of Time-Delay Systems; 7.5 Computation of Strong H-Infinity Norms; 7.6 Fixed-Order H-Infinity Controller Design
7.7 Strong Stability, Fixed-Order Stabilization and Robust Stability Margin Optimization
This volume in the newly established series Advances in Delays and Dynamics (ADD@S) provides a collection of recent results on the design and analysis of Low Complexity Controllers for Time Delay Systems. A widely used indirect method to obtain low order controllers for time delay systems is to design a controller for the reduced order model of the plant. In the dual indirect approach, an infinite dimensional controller is designed first for the original plant model; then, the controller is approximated by keeping track of the degradation in performance and stability robustness measures.The pr
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