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Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach

IEEE Transactions on Neural Networks and Learning Systems, 2022
Tao Bian, Zhong-Ping Jiang
exaly  

Continuous-Time Systems

2019
Aydin Akan, Luis F. Chaparro
openaire   +1 more source

Continuous Time Models

2002
In the case of discrete time system models, the stochastic case hardly amounts to more than introducing an extra sample point argument into each of the variables in the problem.
openaire   +1 more source

Continuous-Time Systems

2000
The relationships between the input and output signals of analog systems which are introduced in this chapter are part of the theory of continuous-time systems. For a certain class of systems which have the properties of linearity and time-invariance (LTI systems), this theory provides relatively simple mathematical relationships.
openaire   +1 more source

Continuous Time Models

2014
In this chapter, models for continuous time will be discussed. It is structured as follows: The lognormal model and some extensions based on it are discussed first, followed by relative risk models. For relative risk models, there is a unified approach for estimation based on IWLS proposals.
openaire   +1 more source

Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow**

Angewandte Chemie - International Edition, 2021
Peter Sagmeister   +2 more
exaly  

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