2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP) 2015
DOI: 10.1109/icicip.2015.7388204
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Online critic-identifier-actor algorithm for optimal control of nonlinear systems

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Cited by 6 publications
(10 citation statements)
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“…▪ Remark 2. According to Theorem 1, we know a promising way to find the decentralized ETC of interconnected system (1) with the triggering condition (16). That is, by solving the event-triggered HJB equation ( 14), we can obtain the optimal ETC laws (13).…”
Section: Decentralized Event-triggered Optimal Controller Designmentioning
confidence: 99%
“…▪ Remark 2. According to Theorem 1, we know a promising way to find the decentralized ETC of interconnected system (1) with the triggering condition (16). That is, by solving the event-triggered HJB equation ( 14), we can obtain the optimal ETC laws (13).…”
Section: Decentralized Event-triggered Optimal Controller Designmentioning
confidence: 99%
“…The optimal control theory is developing fast and its various applications are extensively used in many fields of science and engineering [25] . This theory for linear systems has been highly improved [26] , however, the nonlinear optimal control problem (OCP) has become a strong topic and should be deeper investigated [27][28] . Jajarmi and Baleanu [29] proposed a new approach based on the modal series method and eigenvalue decomposition technique to solve a class of nonlinear optimal control problems.…”
Section: Introductionmentioning
confidence: 99%
“…ACDs can be model-free if the critic is an AD network, which means the control signals are also introduced as network inputs (Abouheaf et al (2018), Vamvoudakis and Ferraz (2018)). Nevertheless, to achieve model free application, an alternative is building a third module to approximate the plant dynamics and ANNs are often regarded as the first choice (Van Kampen et al (2006), Liu et al (2012), Bhasin et al (2013), Lin et al (2017), Liu et al (2013)). Van Kampen et al (2006) illustrates how this three-network structure outperforms AD ones if rewards only depend on system states.…”
Section: Introductionmentioning
confidence: 99%