LEADER 04027nam 22006375 450 001 9910645887903321 005 20230121112216.0 010 $a981-19-7291-5 024 7 $a10.1007/978-981-19-7291-1 035 $a(MiAaPQ)EBC7184879 035 $a(Au-PeEL)EBL7184879 035 $a(CKB)26037407800041 035 $a(DE-He213)978-981-19-7291-1 035 $a(PPN)267810024 035 $a(EXLCZ)9926037407800041 100 $a20230121d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Optimal Control and Applications Involving Critic Intelligence /$fby Ding Wang, Mingming Ha, Mingming Zhao 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (283 pages) 225 1 $aIntelligent Control and Learning Systems,$x2662-5466 ;$v6 300 $aIncludes index. 311 08$aPrint version: Wang, Ding Advanced Optimal Control and Applications Involving Critic Intelligence Singapore : Springer,c2023 9789811972904 327 $aA Survey of Robust Adaptive Critic Control Design -- Robust Optimal Control of Nonlinear Systems with Matched Uncertainties -- Observer-Based Online Adaptive Regulation for a Class of Uncertain Nonlinear Systems -- Adaptive Tracking Control of Nonlinear Systems Subject to Matched Uncertainties -- Event-Triggered Robust Stabilization Incorporating an Adaptive Critic Mechanism -- An Improved Adaptive Optimal Regulation Framework with Robust Control Synthesis -- Robust Stabilization and Trajectory Tracking of General Uncertain Nonlinear Systems -- Event-Triggered Nonlinear H? Control Design via an Improved Critic Learning Strategy -- Intelligent Critic Control with Disturbance Attenuation for a Micro-Grid System -- Sliding Mode Design for Load Frequency Control with Power System Applications. 330 $aThis book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems. 410 0$aIntelligent Control and Learning Systems,$x2662-5466 ;$v6 606 $aAutomatic control 606 $aRobotics 606 $aAutomation 606 $aMachine learning 606 $aControl, Robotics, Automation 606 $aMachine Learning 606 $aAutomation 615 0$aAutomatic control. 615 0$aRobotics. 615 0$aAutomation. 615 0$aMachine learning. 615 14$aControl, Robotics, Automation. 615 24$aMachine Learning. 615 24$aAutomation. 676 $a006.3 700 $aWang$b Ding$01071455 702 $aZhao$b Mingming 702 $aHa$b Mingming 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910645887903321 996 $aAdvanced Optimal Control and Applications Involving Critic Intelligence$93006282 997 $aUNINA