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Handbook of Vehicle Suspension Control Systems. Control, Robotics and Sensors- Product Image
Handbook of Vehicle Suspension Control Systems. Control, Robotics and Sensors- Product Image

Handbook of Vehicle Suspension Control Systems. Control, Robotics and Sensors

  • ID: 3527918
  • Book
  • November 2013
  • IET Books

Handbook of Vehicle Suspension Control Systems surveys the state-of-the-art in advanced suspension control theory and applications. Topics covered include an overview of intelligent vehicle suspension control systems; intelligence-based vehicle active suspension adaptive control systems; robust active control of an integrated suspension system; an interval type-II fuzzy controller for vehicle active suspension systems; active control for actuator uncertain half-car suspension systems; active suspension control with finite frequency approach; fault-tolerant control for uncertain vehicle suspension systems via fuzzy control approach; h-infinity fuzzy control of suspension systems with actuator saturation; design of sliding mode controllers for semi-active suspension systems with magnetorheological dampers; joint design of controller and parameters for active vehicle suspension; an LMI approach to vibration control of vehicle engine-body systems with time delay; and frequency domain analysis and design of nonlinear vehicle suspension systems.

With contributions from an international selection of researchers, Handbook of Vehicle Suspension Control Systems will find a place on the bookshelves of academic researchers and industrial practitioners in control engineering, particularly those working on applications for the automotive industry.

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- Chapter 1: State-of-the-art of vehicle intelligent suspension control system
- Chapter 2: Intelligence-based vehicle active suspension adaptive control systems
- Chapter 3: Robust active control of an integrated suspension system
- Chapter 4: An interval type-2 fuzzy controller for vehicle active suspension systems
- Chapter 5: Active control for actuator uncertain half-car suspension systems
- Chapter 6: Active suspension control with finite frequency approach
- Chapter 7: Fault-tolerant control for uncertain vehicle suspension systems via fuzzy control approach
- Chapter 8: Hinfinity fuzzy control of suspension systems with actuator saturation
- Chapter 9: Design of sliding mode controller for semi-active suspension systems with magnetorheological dampers
- Chapter 10: Joint design of controller and parameters for active vehicle suspension
- Chapter 11: System approach to vehicle suspension system control in CAE environment
- Chapter 12: Vibration control of vehicle engine-body systems with time delay: an LMI approach
- Chapter 13: Frequency domain analysis and design of nonlinear vehicle suspension systems
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Honghai Liu

Honghai Liu is Head of the Intelligent Systems & Biomedical Robotics Group at the School of Creative Technologies, University of Portsmouth. He previously worked in industry on large-scale industrial control and system integration projects, and held research appointments at the Universities of London and Aberdeen. His research focuses on machine intelligence, multisensor fusion, fault diagnostics, fuzzy and qualitative reasoning, knowledge representation and motion planning and their applications to embedded robotic systems and web-based systems, particularly those approaches which could make contributions to the intelligent connection of perception to action.

Huijun Gao

Huijun Gao is Director of the Research Institute of Intelligent Control and Systems at Harbin Institute of Technology, China, where his research interests include networked control systems, signal processing, time-delay systems, data-driven control, automatic optical inspection, and opto-mechatronics integration to high-end equipment manufacturing.

Ping Li

Ping Li is Professor and President at Liaoning Shihua University, China. His research interests include model predictive control, adaptive control, process computer control, process optimization, and applications of advanced process control technologies in industrial processes.

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