Favorite books
This is a list of my favorite books that I really enjoyed reading them and believe they are great materials to build our background in the areas of control engineering and autonomous robotic vehicles.
Applied mathematics
- Introduction to Linear Algebra, by Gilbert Strang, fourth edition, 2009
- Convex Optimization, by Lieven Vandenberghe and Stephen P. Boyd, 2004
Control theory
- Linear System Theory and Design, by Chi-Tsong Chen, 1984
- Nonlinear Systems, by Hassan K Khalil, 2002
- Model Predictive Control: Theory, Computation, and Design, by James B. Rawlings, David Q. Mayne, and Moritz M. Diehl, 2017
- Lectures on Network Systems, by Francisco Bullo, 2018
- Multivariable Feedback Control: Analysis and Design, by Postlethwaite and Sigurd Skogestad, 1996
- Robust and Optimal Control, by KEMIN ZHOU with JOHN C. DOYLE and KEITH GLOVER, 1996
Estimation theory
- Detection, Estimation, and Modulation Theory: Detection, Estimation, and Linear Modulation Theory, by Harry L. Van Trees 1969
- Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking, by Harry L. Van Trees, 2007
- Decentralized Estimation and Control for Multisensor Systems. CRC Press, 1998, by Arthur GO Mutambara.
Autonomous vehicle and Robotics
- Probabilistic Robotics, by Dieter Fox, Sebastian Thrun, and Wolfram Burgard, 2005
- Small Unmanned Aircraft: Theory and Practice, Randy Beard, Tim McLain, 2012
- Handbook of Marine Craft Hydrodynamics and Motion Control, Thor Fossen 2021
- ROS, robot programming: from the basic concept to practical programming and robot application, by YoonSeok Pyo, HanCheol Cho, RyuWoon Jung, TaeHoon Lim, 2017