• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach

Self-Learning Optimal Control of Nonlinear Systems: Adaptive Dynamic Programming Approach

Hardcover

Series: Studies in Systems, Decision and Control, Book 103

Technology & EngineeringGeneral Computers

ISBN10: 9811040796
ISBN13: 9789811040795
Publisher: Springer Nature
Published: Jun 22 2017
Pages: 230
Weight: 1.17
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
Chapter 1. Principle of Adaptive Dynamic Programming.- Chapter 2. An Iterative ϵ-Optimal Control Scheme for a Class of Discrete-Time Nonlinear Systems With Unfixed Initial State.- Chapter 3. Discrete-Time Optimal Control of Nonlinear Systems Via Value Iteration-Based Q-Learning.- Chapter 4. A Novel Policy Iteration Based Deterministic Q-Learning for Discrete-Time Nonlinear Systems.- Chapter 5. Nonlinear Neuro-Optimal Tracking Control Via Stable Iterative Q-Learning Algorithm.- Chapter 6. Model-Free Multiobjective Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems with General Performance Index Functions.- Chapter 7. Multi-Objective Optimal Control for a Class of Unknown Nonlinear Systems Based on Finite-Approximation-Error ADP Algorithm.- Chapter 8. A New Approach for a Class of Continuous-Time Chaotic Systems Optimal Control by Online ADP Algorithm.- Chapter 9. Off-Policy IRL Optimal Tracking Control for Continuous-Time Chaotic Systems.- Chapter 10. ADP-Based Optimal Sensor Scheduling for Target Tracking in Energy Harvesting Wireless Sensor Networks.

Also in

Technology & Engineering