Model Predictive Control Part 3 ppt
Tài liệu Project Planning and Control Part 3 pptx
... 13. 7S1267171 23 2421 33 37 111 3 41891011416201212628 30 34 35 36 F2 3 7818202425 32 34 38 1112456910 13 1415192621222729 31 35 36 37 TimeDummies62 3 72519, 24,4 3 26, 28, 30 , 33 2 3 34, 3 42 13, 14, 16, 17, 20, 3 178,2 3 1011,16, 20, 17, 14, 3 3716, 21, 23, 17,24,5 3 5 23, 28552 34 , 30 , 33 61010ActivityExcavate ... 14 .3 Figure 14.4Figure 13. 7S1267171 23 2421 33 37 111 3 41891011416201212628 30 34 35 36 F2 3 7818202425 32 34 38 1112456910 13 1415192621222729 31 35 36 37 TimeDummies62 3 72519, ... 11.25.11 3 82660CBA21417215510 3 770HGFED221415 23 1 13 3101880PNMLKJ151210421171510702117 23 16 131 24 432 198765114 13 151211101 Project Planning and Control 9...
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Wide Spectra of Quality Control Part 3 ppt
... of market coffee and its infusions in view of their mineral composition. The Science of the Total Environment, Vol .38 3, No.1 -3, (September 2007), pp. 59-69, ISSN 0048-9697 Wide Spectra of ... analysed. The collection of these specimens is Wide Spectra of Quality Control 64 analytes’ losses (especially volatile) and (5) possibility of use of smaller amounts of samples (1-100 mg ... between 73. 3% and 1 03% and precision (as RSDs) was within 0.4–19.4%. Wide Spectra of Quality Control 70 Vale, M.G.R.; Oleszczuk, N. & dos Santos, W.N.L. (2006). Current Status of Direct...
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Advances in PID Control Part 3 ppt
... reach the set point stably. The requirement from the useris to attain a faster rising time and to maintain the steady state quickly. 34 Advances in PID Control Adaptive PID Control System Design ... chamberFig. 24. Control Input: 120→ 130 → 120 degree with 85 % RH0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5x 10422.12.2θp0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5x 104012x 10 3 θi0 0.5 1 1.5 2 2.5 3 3.5 4 ... setting in the chambers. In the general unsaturated HAST system, the system is controlled by a conventional PID scheme with static PID gains. However, since the HAST system has highly nonlinearitiesand...
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Advanced Model Predictive Control Part 1 docx
... start by eliminating 14 Advanced Model Predictive Control Contents Preface IX Part 1 New Theory of Model Predictive Control 1 Chapter 1 Fast Model Predictive Control and its Application ... 10 A General Lattice Representation for Explicit Model Predictive Control 19 7 Chengtao Wen and Xiaoyan Ma Part 2 Successful Applications of Model Predictive Control 223 Chapter 11 Model Predictive ... of practicalproblems. 12 Advanced Model Predictive Control Fast Model Predictive Control and its Application to Energy Management of Hybrid Electric Vehicles 11 • Step 11 . Update the primal...
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Advanced Model Predictive Control Part 2 pptx
... here. 22 Advanced Model Predictive Control Fast Model Predictive Control and its Application to Energy Management of Hybrid Electric Vehicles 25 Ling, K.V.; Wu, B.F. & Maciejowski, J.M. (20 08). ... model predictive control , American Control Conference, Portland, OR, pp. 4166-71. Abonyi J. (20 03) Fuzzy Model identification for control, Birkhauser Boston. Advanced Model Predictive Control ... Primal-dual interior-point methods,SIAM. 28 Advanced Model Predictive Control Advanced Model Predictive Control 42 0 50 100 15001 2 34567samplesNMPCsetpointMAMPC...
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Advanced Model Predictive Control Part 3 potx
... Automatic Control, Vol .38 , No.11,19 93: 16 23- 1 633 Wei Chen, Gang Wu. Nonlinear Modeling of Two-Tank System and Its Nonlinear Model Predictive Control [A]. Proceedings of the 24th Chinese Control ... achieve77Distributed Model Predictive Control Based on Dynamic Games Improved Nonlinear Model Predictive Control Based on Genetic Algorithm 57 0 1 2 3 4 5 6200250 30 0 35 0400T, K 0 1 2 3 4 5 6280 30 0 32 0 34 0 36 0 38 0time, ... 11(20 03) : 733 -764 Mark Cannon, Efficient nonlinear model predictive control algorithms [J], Annual Reviews in Control 28(2004): 229- 237 Basil Kouvaritakis and Mark Cannon, Nonlinear predictive control: ...
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Advanced Model Predictive Control Part 4 pdf
... x Value of (15)(%) 0.975 0 -8. 348 9 -8. 348 9 0.001 -8. 348 9 -8. 348 9 0.01 -8. 348 9 -8. 348 9 0.95 0 -4. 5279 -4. 5279 0.001 -4. 5279 -4. 5279 0.01 -4. 5279 -4. 5279 Table 1. Comparison on sspex ... Distributed receding horizon control for multi-vehicleformation stabilization, Automatica 42 (4) : 549 –558.88 Advanced Model Predictive Control Distributed Model Predictive Control BasedonDynamicGames ... e−50.4s 48 .4s+10 0 79.131.4s+0.831.4s+1.020.1 e 4. 1s25.6s+1.0016.9 e− 24. 7s39.5s+1−39.222.8s+0.822.8s+1.00000 24. 4 48 .2s2 +4. 0s+0.05 48 .2s2+3.9s+0.0600−8 .4 e−18.8s27.9s+1016.3...
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Advanced Model Predictive Control Part 5 docx
... Multi-dimensional Model Predictive Control for Critical Process with Stochastic Behavior 123 Vojtech Veselý and Danica Rosinová. (2010). Robust Model Predictive Control Design, In: Model Predictive Control, ... k Table 2. Basic fuzzy-neural model unconstrained predictive control algorithm 3.2 Constrained model predictive control The constrained nonlinear predictive control problem can be described ... the predicted control increments at time k, respectively. The length of the prediction horizon is Advanced Model Predictive Control 134 3.1 Unconstrained model predictive control In this...
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Advanced Model Predictive Control Part 6 ppt
... be steered to 0 by using the control law of MPC. The proof can be found in [1]. Advanced Model Predictive Control 160 0 16. 59 26 11.59 26 |0.711.59 26 16. 59 26 TfXxXx x=∈ ≤. ... which the filter output sequence can beyielded. 166 Advanced Model Predictive Control 2 Nonlinear Model Predictive Control nonlinear model predictive control algorithm to maximize the region of the ... [11]. Advanced Model Predictive Control 1 46 4.3 Experimental results with fuzzy-neural constrained predictive control The experiments with the proposed constrained model predictive control...
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Advanced Model Predictive Control Part 7 doc
... asshown in (51), compared with the second part, the first part is much smaller, and it is thus a logical186 Advanced Model Predictive Control Model Predictive Control for Block-oriented Nonlinear ... > N0, the following inequality holds with probability one 170 Advanced Model Predictive Control 24 Nonlinear Model Predictive Control On the other hand, for any e(k) ∈ Se, (49) and (50) ... 9. The sampling number S = 2000, and sampling period is 12s. 176 Advanced Model Predictive Control 18 Nonlinear Model Predictive Control dual-mode NMPC can still yield satisfactory performances,...
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Advanced Model Predictive Control Part 11 pptx
... of the problem, and ensuring that the controller does not attempt to control weakly controllable directions of the process. Advanced Model Predictive Control 290 Ozkan, G., Hapoglu, H. and ... with Exogenous Inputs Based ModelPredictive Control for Batch Citronellyl Laurate Esterification Reactor 289 Eaton, J.W. and Rawlings, J.B. (1992) Model predictive control of chemical processes. ... Nonlinear predictive control using local models-applied to a batch fermentation process. Control Engineering Practice. 3 (3), 389-396. Garcia, C.E. and Morari, M., (1982) Internal model control. ...
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Model Predictive Control Part 3 ppt
... traditional senseRobust Adaptive Model Predictive Control of Nonlinear Systems 43 C 13. 6 .3 Ψ(Θ1, x[a,b ], u[a,b ]) ⊆ Ψ(Θ2, x[a,b ], u[a,b ]), for Θ1⊆ Θ2⊆ ΘoC 13. 6.4 Ψ(Θ, x[a,b ], u[a,b ... presented in Section 14.1.1. 13. 2.4 Closed-loop StabilityTheorem 13. 11 (Main result). Given system (19), target Σox, and penalty L satisfying Assumptions 13. 1, 13. 2, 13. 3, 13. 5, assume the functions ... presented in Section 14.1.1. 13. 2.4 Closed-loop StabilityTheorem 13. 11 (Main result). Given system (19), target Σox, and penalty L satisfying Assumptions 13. 1, 13. 2, 13. 3, 13. 5, assume the functions...
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Model Predictive Control Part 5 ppt
... (-10; -5; -10; -5; -1; 0) 4181.6 1370.9 (10; 5; -10; -5; 1; 0) 3322 1406 (10; 5; -10; -5; -1; 0) 157 450 0000 1 452 .1 ( -5; -2; -10; -5; 1; 0) 1411.2 856 .1 (-10; -5; -5; -2; 1; 0) 154 7 .5 850 .9 ... controller GPMN-NMPC (10; 5; 10; 5; 1; 0) 2661.7 1377.0 (10; 5; 10; 5; -1; 0) 3619 .5 13 45. 5 (-10; -5; 10; 5; 1; 0) 2784.9 1388 .5 (-10; -5; 10; 5; -1; 0) 8429.2 1412.0 (-10; -5; -10; -5; ... G =50 PS =50 G=100 PS =50 G =50 PS =50 G =50 PS =50 G =50 PS=30 Average Time Consumption 2.20 75 1.8027 2.9910 2.2463 1.3961 0. 855 7 Cost 31.2896 35. 753 4 27.7303 31.8 055 28.1 31.1043...
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Model Predictive Control Part 14 ppt
... 1997): Off-line model predictive control of dc-dc converter 269Off-line model predictive control of dc-dc converterTadanao Zanma and Nobuhiro Asano0Off-line model predictive control of dc-dc ... control system based on model predictive control. Periodica Polytechnica ser. Civil. Eng., 54 Tettamanti, T.; Varga, I.; Kulcsár, B. & Bokor, J. (2008). Model predictive control in urban traffic ... kdkBukxkx =1 kxky = (3) Model Predictive Control2 64 controllers) which do not participate in the computation. The distributed control network is represented by Figure 6....
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Model Predictive Control Part 3 pot
... presented in Section 14.1.1. 13. 2.4 Closed-loop StabilityTheorem 13. 11 (Main result). Given system (19), target Σox, and penalty L satisfying Assumptions 13. 1, 13. 2, 13. 3, 13. 5, assume the functions ... aterminal-constrained controller (i.e., Xf≡ {0}); however, this is not critical to the adaptation. Model Predictive Control4 4C 13. 9 .3 kf(x, Θ) ∈ U, for all x ∈ Xf(Θ).C 13. 9.4 Xf(Θ) and Σx(Θ) ... presented in Section 14.1.1. 13. 2.4 Closed-loop StabilityTheorem 13. 11 (Main result). Given system (19), target Σox, and penalty L satisfying Assumptions 13. 1, 13. 2, 13. 3, 13. 5, assume the functions...
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