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Convergence Properties of a Computational Learning Model for Unknown Markov Chains
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The increasing complexity of engineering systems has motivated continuing research on computational learning methods toward making autonomous intelligent systems that can learn how to improve their ...
Real-Time Self-Learning Optimization of Diesel Engine Calibration
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Compression ignition engine technologies have been advanced in the past decade to provide superior fuel economy and high performance. These technologies offer increased opportunities for optimizing ...
A Real-Time Computational Learning Model for Sequential Decision-Making Problems Under Uncertainty
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Modeling dynamic systems incurring stochastic disturbances for deriving a control policy is a ubiquitous task in engineering. However, in some instances obtaining a model of a system may be ...
Online Identification and Stochastic Control for Autonomous Internal Combustion Engines
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Advanced internal combustion engine technologies have afforded an increase in the number of controllable variables and the ability to optimize engine operation. Values for these variables are ...