LEADER 04404nam 22006015 450 001 9910483256103321 005 20251113203348.0 010 $a981-15-6109-5 024 7 $a10.1007/978-981-15-6109-2 035 $a(CKB)4100000011372937 035 $a(DE-He213)978-981-15-6109-2 035 $a(MiAaPQ)EBC6280388 035 $a(PPN)250213508 035 $a(MiAaPQ)EBC6280312 035 $a(EXLCZ)994100000011372937 100 $a20200804d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDistributed Optimization: Advances in Theories, Methods, and Applications /$fby Huaqing Li, Qingguo Lü, Zheng Wang, Xiaofeng Liao, Tingwen Huang 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XVIII, 243 p. 64 illus., 42 illus. in color.) 311 08$a981-15-6108-7 327 $aIntroduction -- Convergence of Distributed Accelerated Algorithm over Unbalanced Directed Networks -- Geometrical Convergence Rate for Distributed Optimization with Time-Varying Directed Graphs and Uncoordinated Step-Sizes -- Distributed Constrained Optimization over Unbalanced Directed Networks Using Asynchronous Broadcast-Based Algorithm -- Distributed Consensus Optimization in Multi-Agent Networks with Time-Varying Directed Topologies and Quantized Communication -- Event-Triggered Communication and Data Rate Constraint for Distributed Optimization of Multi-Agent Systems -- Random Sleep Scheme Based Distributed Optimization Algorithm over Unbalanced Time-Varying Networks -- Edge-Based Stochastic Gradient Algorithm for Distributed Optimization -- Distributed Robust Algorithm for Economic Dispatch in Smart Grids over General Unbalanced Directed Networks -- Distributed Event-Triggered Schemefor Economic Dispatch in Power Systems with Uncoordinated Step-Sizes. 330 $aThis book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies in the execution of distributed algorithms; and the frameworks of convergence analysis and performance evaluation. On this basis, the book then thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based algorithms, event-triggered communication, quantized communication, unbalanced directed networks, and time-varying networks, froma communication network perspective; and 3) accelerated algorithms and stochastic gradient algorithms, from an algorithm perspective. Finally, the applications of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed. 606 $aControl engineering 606 $aMathematical optimization 606 $aComputer networks 606 $aControl and Systems Theory 606 $aOptimization 606 $aComputer Communication Networks 615 0$aControl engineering. 615 0$aMathematical optimization. 615 0$aComputer networks. 615 14$aControl and Systems Theory. 615 24$aOptimization. 615 24$aComputer Communication Networks. 676 $a519.3 700 $aLi$b Huaqing$4aut$4http://id.loc.gov/vocabulary/relators/aut$01015111 702 $aLü$b Qingguo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWang$b Zheng$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLiao$b Xiaofeng$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHuang$b Tingwen$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483256103321 996 $aDistributed Optimization: Advances in Theories, Methods, and Applications$92368786 997 $aUNINA