Analysis and Design of Control Laws for Advanced Driver-Assistance Systems (ADAS) teaches students how to solve classical problems in automotive control in a step-by-step fashion. It begins by motivating the use of ADAS and then explains different ADAS models and the goals of their control systems. Systems analysis and control architectures are presented, followed by a treatment of the use of optimal control and the Kalman filter. The author then presents more advanced control techniques and gives an overview of control problems involved in fully autonomous, hybrid and electric vehicles. Each chapter contains a specific discussion of its subject in terms of various ADAS functionalities, such as active suspension, power steering, lane control and automated parking. The text is developed by extensive use of worked examples, related to the applications discussed. Appendices, including necessary aspects of linear algebra and the use of MATLAB render the text self-contained.MATLAB files are provided to help both student and instructor model and analyse the systems being discussed. An electronic solutions manual is freely available for download by instructors adopting the book for their classroom teaching.

This textbook will help final-year undergraduate and graduate students to understand the practical issues they will face when working on automotive systems in the real world and the theoretical underpinnings they will need to get to grips with the control systems of present and future generations of cars and other automotive transport. A basic grounding in mathematics and physics is all that is required to get the most from this text.

Shows the student how to tackle the practical issues involved with control of modern automotive systems Clear layout easily distinguishes different features of the text Provides a general structure for learning ADAS control systems that does not rely on ad hoc solutions

Autorentext
Nicola Mimmo received his Ph.D. in Control System Engineering in 2015 and since then he has worked as a researcher at the University of Bologna. He teaches automatic controls in the context of postgraduate degrees with special focus on automotive applications. He is the author of tens of scientific papers and book chapters and he serves as reviewer for the most important journals in the field of automatic controls.

Klappentext

Analysis and Design of Control Laws for Advanced Driver-Assistance Systems (ADAS) teaches students how to solve classical problems in automotive control in a step-by-step fashion. It begins by motivating the use of ADAS and then explains different ADAS models and the goals of their control systems. Systems analysis and control architectures are presented, followed by a treatment of the use of optimal control and the Kalman filter. The author then presents more advanced control techniques and gives an overview of control problems involved in fully autonomous, hybrid and electric vehicles. Each chapter contains a specific discussion of its subject in terms of various ADAS functionalities, such as active suspension, power steering, lane control and automated parking. The text is developed by extensive use of worked examples, related to the applications discussed. Appendices, including necessary aspects of linear algebra and the use of MATLAB render the text self-contained.MATLAB files are provided to help both student and instructor model and analyse the systems being discussed. An electronic solutions manual is freely available for download by instructors adopting the book for their classroom teaching. This textbook will help final-year undergraduate and graduate students to understand the practical issues they will face when working on automotive systems in the real world and the theoretical underpinnings they will need to get to grips with the control systems of present and future generations of cars and other automotive transport. A basic grounding in mathematics and physics is all that is required to get the most from this text.

Inhalt
Introduction.- ADAS Models and Control Goals.- System Analysis.- Control System Architecture.- Optimal Control and Kalman Filter.- Further ADAS Control Techniques.- Autonomous, Hybrid and Electrical Vehicles.- Appendix A: Linear Algebra.- Appendix B: Study and Design of Dynamic Systems with MATLAB.- Appendix C: Optimal Control Robustness.