制御学習：ロボット工学と複雑動的システムへの応用 Learning Control : Applications in Robotics and Complex Dynamical Systems

Zhang, Dan (EDT)/ Wei, Bin (EDT)

Elsevier Science Publishing Co Inc（2020/12発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 280 p.
• 言語 ENG
• 商品コード 9780128223147
• DDC分類 629.8312

Full Description

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.

Contents

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