Wei B. Learning Control. Applications in Robotics...Systems 2021 torrent

Textbook in PDF format

Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and artificial intelligence (AI) are covered, as are foundational control theories and more established techniques such as adaptive learning control, reinforcement learning control, impedance control, and deep reinforcement control. Each chapter includes case studies and real-world applications in robotics, AI, aircraft and other vehicles and complex dynamical systems. Computational methods for control systems, particularly those used for developing AI and other machine learning techniques, are also discussed at length.
Key Features
Provides foundational control theory concepts, along with advanced techniques and the latest advances in adaptive control and robotics
Introduces state-of-the-art learning-based control technologies and their applications in robotics and other complex dynamical systems
Demonstrates computational techniques for control systems
Covers iterative learning impedance control in both human-robot interaction and collaborative robots
Readership
Researchers and academics in robotics, mechanical engineering, and mechatronics; engineers working in the same fields; grad students
A high-level design process for neural-network controls through a framework of human personalities
Cognitive load estimation for adaptive human–machine system automation
Comprehensive error analysis beyond system innovations in Kalman filtering
Nonlinear control
Deep learning approaches in face analysis
Finite multi-dimensional generalized Gamma Mixture Model Learning for feature selection
Variational learning of finite shifted scaled Dirichlet mixture models
From traditional to deep learning: Fault diagnosis for autonomous vehicles
Controlling satellites with reaction wheels
Vision dynamics-based learning control