Ergebnisse für: Model-Free Control Algorithms

Hier findest Du Bücher, die sich mit Model-Free Control Algorithms beschäftigen.

Buch Cover Output Feedback Reinforcement Learning Control for Linear Systems
This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL.  New developments in the design of sensor data efficient RL algorithms are demonstrated that not...
Buch Cover Output Feedback Reinforcement Learning Control for Linear Systems
This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL.  New developments in the design of sensor data efficient RL algorithms are demonstrated that not...
Buch Cover Output Feedback Reinforcement Learning Control for Linear Systems
This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL.  New developments in the design of sensor data efficient RL algorithms are demonstrated that not...
Buch Cover Application of Optimization in Production, Logistics, Inventory, Supply Chain Management and Block Chain
The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for in...

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