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020 _a9783030632816
_9978-3-030-63281-6
024 7 _a10.1007/978-3-030-63281-6
_2doi
050 4 _aQ295
050 4 _aQA402.3-402.37
072 7 _aGPFC
_2bicssc
072 7 _aSCI064000
_2bisacsh
072 7 _aGPFC
_2thema
082 0 4 _a003
_223
245 1 0 _aRecent Advances in Model Predictive Control
_h[electronic resource] :
_bTheory, Algorithms, and Applications /
_cedited by Timm Faulwasser, Matthias A. Müller, Karl Worthmann.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aIX, 244 p. 53 illus., 41 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Control and Information Sciences,
_x1610-7411 ;
_v485
505 0 _aPredictive path-following without terminal constraints -- Dissipativity in economic model predictive control: beyond steady-state optimality -- Primal or dual terminal constraints in Economic MPC? –s Comparison and insights -- Multi-level iterations for economic nonlinear model predictive control -- On closed-loop dynamics of ADMM-based MPC -- Distributed optimization and control with ALADIN -- Model predictive control for the internet of things -- Hybrid GP modeling applied to economic stochastic MPC of batch processes -- Collision avoidance for mobile robots based on an occupancy grid.
520 _aThis book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most successful advanced control methodologies due to the simplicity of the basic idea (measure the current state, predict and optimize the future behavior of the plant to determine an input signal, and repeat this procedure ad infinitum) and its capability to deal with constrained nonlinear multi-input multi-output systems. While the basic idea is simple, the rigorous analysis of the MPC closed loop can be quite involved. Here, distributed means that either the computation is distributed to meet real-time requirements for (very) large-scale systems or that distributed agents act autonomously while being coupled via the constraints and/or the control objective. In the latter case, communication is necessary to maintain feasibility or to recover system-wide optimal performance. The term economic refers to general control tasks and, thus, goes beyond the typically predominant control objective of set-point stabilization. Here, recently developed concepts like (strict) dissipativity of optimal control problems or turnpike properties play a crucial role. The book collects research and survey articles on recent ideas and it provides perspectives on current trends in nonlinear model predictive control. Indeed, the book is the outcome of a series of six workshops funded by the German Research Foundation (DFG) involving early-stage career scientists from different countries and from leading European industry stakeholders.
650 0 _aSystem theory.
_93409
650 0 _aControl theory.
_93950
650 0 _aMathematical optimization.
_94112
650 1 4 _aSystems Theory, Control .
_931597
650 2 4 _aOptimization.
_948641
700 1 _aFaulwasser, Timm.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948642
700 1 _aMüller, Matthias A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948643
700 1 _aWorthmann, Karl.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_948644
710 2 _aSpringerLink (Online service)
_948645
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030632809
776 0 8 _iPrinted edition:
_z9783030632823
776 0 8 _iPrinted edition:
_z9783030632830
830 0 _aLecture Notes in Control and Information Sciences,
_x1610-7411 ;
_v485
_948646
856 4 0 _uhttps://doi.org/10.1007/978-3-030-63281-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
912 _aZDB-2-LNI
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