Adaptive gain scheduling is a control strategy that adjusts the gains of a controller based on the current operating conditions of a system. This technique helps maintain optimal performance across various states of operation by adapting the control parameters dynamically, ensuring stability and performance even as system dynamics change. By using this method, systems can respond effectively to varying conditions, making it particularly useful in complex environments such as manufacturing processes and systems integrated with machine learning.
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