Jing Zhou, Lantao Xing, Changyun Wen

Adaptive Control of Dynamic Systems with Uncertainty and Quantization (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book presents innovative technologies and research results on adaptive control of dynamic systems with quantization, uncertainty and nonlinearity including theoretical success and practical development such as approaches for stability analysis, treatment of subsystem interactions, improvement of system tracking and transient performance.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 249
• Erscheinungstermin: 14. Dezember 2021
• Englisch
• ISBN-13: 9781000487787
• Artikelnr.: 62782950

Autorenporträt

Jing Zhou is currently a Full Professor at the Faculty of Engineering and Science, University of Agder, Norway, and a Research Director of the Priority Research Center of Mechatronics.

Lantao Xing is a Presidential Postdoctoral Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

Changyun Wen is currently a Full Professor at the Nanyang Technological University, Singapore.

Inhaltsangabe

1. Introduction. 2. Backstepping Control. 3. Quantizers and Quantized
Control Systems. SECTION I: INPUT QUANTIZATION COMPENSATION. 4. Adaptive
Stabilization of Nonlinear Uncertain Systems with Input Quantization. 5.
Adaptive Tracking of Nonlinear Uncertain Systems with Input Quantization.
6. Decentralized Adaptive Control of Interconnected Systems with Input.
Quantization. 7. Output Feedback Control for Uncertain Nonlinear Systems
with Input. Quantization. SECTION II: STATE QUANTIZATION COMPENSATION. 8.
Adaptive Control of Systems with Bounded State Quantization. 9. Adaptive
Control of Systems with Sector-Bounded State Quantization. SECTION III:
INPUT AND STATE/OUTPUT QUANTIZATION COMPENSATION. 10. Adaptive State
Feedback Control of Systems with Input and State Quantization. 11. Adaptive
Output Feedback Control of Systems with Input and Output. Quantization.
SECTION IV: APPLICATIONS. 12. Adaptive Attitude Control of Helicopter with
Quantization. 13. Quantized Distributed Secondary Control for DC Microgrid.
14. Conclusions and Future Challenges. Appendices.