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Advanced Model Predictive Control / / Tao Zheng, editor
| Advanced Model Predictive Control / / Tao Zheng, editor |
| Pubbl/distr/stampa | Rijeka, Croatia : , : InTech, , [2011] |
| Descrizione fisica | 1 online resource (x, 418 pages) : illustrations |
| Disciplina | 629.8 |
| Soggetto topico | Predictive control |
| ISBN | 953-51-6015-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910138283503321 |
| Rijeka, Croatia : , : InTech, , [2011] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Model Predictive Control for Autonomous Marine Vehicles / / Yang Shi [and three others]
| Advanced Model Predictive Control for Autonomous Marine Vehicles / / Yang Shi [and three others] |
| Autore | Shi Yang <1960-> |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (210 pages) |
| Disciplina | 629.8 |
| Collana | Advances in Industrial Control Series |
| Soggetto topico |
Predictive control
Autonomous underwater vehicles |
| ISBN | 3-031-19354-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. AUV Modelling -- 3. Receding Horizon Optimization for Integrated Path Planning and Tracking Control of an AUV -- 4. Lyapunov-Based Model Predictive Control for Dynamic Positioning and Trajectory Tracking Control of an AUV -- 5. Multi-Objective Model Predictive Control for Path Following Control of an AUV -- 6. Efficient Implementation Algorithms for NMPC Trajectory Tracking Control of an AUV -- 7. Distributed Lyapunov-based Model Predictive Formation Tracking Control for AUVs Subject to Disturbances -- 8. Conclusions and Future Work. |
| Record Nr. | UNINA-9910659482003321 |
Shi Yang <1960->
|
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| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Battery control using stochastic model predictive control / / Michael Blonsky
| Battery control using stochastic model predictive control / / Michael Blonsky |
| Autore | Blonsky Michael |
| Pubbl/distr/stampa | Golden, CO : , : National Renewable Energy Laboratory, , [2021] |
| Descrizione fisica | 1 online resource (13 pages) : color illustrations |
| Collana | NREL/PR |
| Soggetto topico |
Stochastic models
Predictive control |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910716729903321 |
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Blonsky Michael
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| Golden, CO : , : National Renewable Energy Laboratory, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Distributed model predictive control made easy / / Jose M. Maestre, Rudy R. Negenborn, editors
| Distributed model predictive control made easy / / Jose M. Maestre, Rudy R. Negenborn, editors |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Dordrecht, Netherlands : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (xviii, 600 pages) : illustrations (some color) |
| Disciplina | 629.836 |
| Collana | Intelligent Systems, Control and Automation: Science and Engineering |
| Soggetto topico | Predictive control |
| ISBN | 94-007-7006-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- List of Contributors -- On 35 Approaches for Distributed MPC Made Easy, by R.R. Negenborn, J.M. Maestre.- Part I: From Small-Scale to Large-Scale. The Group of Autonomous Systems Perspective -- 1 Bargaining game based distributed MPC, by F. Valencia, J.D. López, J.A. Patiño, J.J. Espinosa.- 2 Cooperative tube-based distributed MPC for linear uncertain systems coupled via constraints, by P.A. Trodden, A.G. Richards -- 3 Price-driven coordination for distributed NMPC using a feedback control law, by R. Martí, D. Sarabia, C. de Prada -- 4 Distributed MPC for consensus and synchronization, by M.A. Müller, F. Allgöwer.- 5 Distributed MPC under coupled constraints based on Dantzig-Wolfe decomposition, by R. Bourdais, J. Buisson, D. Dumur, H. Guéguen, P-D. Moroşan -- 6 Distributed MPC via dual decomposition and alternative direction method of multipliers , by F. Farokhi, I. Shames, K.H. Johansson -- 7 D-SIORHC, distributed MPC with stability constraints based on a game approach, by J.M. Lemos, J.M. Igreja -- 8 A distributed-in-time NMPC-based coordination mechanism for resource sharing problems , by M.Y. Lamoudi, M. Alamir, P. Béguery -- 9 Rate analysis of inexact dual fast gradient method for distributed MPC, by I. Necoara -- 10 Distributed MPC via dual decomposition , by B. Biegel, J. Stoustrup, P. Andersen -- 11 Distributed optimization for MPC of linear dynamic networks, by E. Camponogara -- 12 Adaptive quasi-decentralized MPC of networked process systems, by Y. Hu, N.H. El-Farra.- 13 Distributed Lyapunov-based MPC, by R. Hermans, M. Lazar, A. Jokić -- 14 A distributed reference management scheme in presence of non-convex constraints: an MPC based approach, by F. Tedesco, D.M. Raimondo, A. Casavola -- 15 The distributed command governor approach in a nutshell, by A. Casavola, E. Garone, F. Tedesco -- 16 Mixed-integer programming techniques in distributed MPC problems, by I. Prodan, F. Stoican, S. Olaru, C. Stoica, S-I. Niculescu -- 17 Distributed MPC of interconnected nonlinear systems by dynamic dual decomposition, by A. Grancharova, T.A. Johansen -- 18 Generalized accelerated gradient methods for distributed MPC based on dual decomposition, by P. Giselsson, A. Rantzer.- 19 Distributed multiple shooting for large scale nonlinear systems, by A. Kozma, C. Savorgnan, M. Diehl.- 20 Nash-based distributed MPC for multi-rate systems , by S. Roshany-Yamchi, R.R. Negenborn, A.A. Cornelio.- Part II: From Large-Scale to Small-Scale. The Decomposed Monolithic System Perspective.- 21 Cooperative dynamic MPC for networked control systems, by I. Jurado, D.E. Quevedo, K.H. Johansson, A. Ahlén -- 22 Parallel implementation of hybrid MPC, by D. Axehill, A. Hansson -- 23 A hierarchical MPC approach with guaranteed feasibility for dynamically coupled linear systems, by M.D. Doan, T. Keviczky, B. De Schutter -- 24 Distributed MPC based on a team game, by J.M. Maestre, F.J. Muros, F. Fele, D. Muñoz de la Peña, E. F. Camacho -- 25 Distributed MPC: A noncooperative approach based on robustness concepts , by G. Betti, M. Farina, R. Scattolini -- 26 Decompositions of augmented Lagrange formulations for serial and parallel distributed MPC, by R.R. Negenborn -- 27 A hierarchical distributed MPC approach: A practical implementation, by A. Zafra-Cabeza, J.M. Maestre -- 28 Distributed MPC based on agent negotiation, by J.M. Maestre, D. Muñoz de la Peña, E.F. Camacho.- 29 Lyapunov-based distributed MPC schemes: Sequential and iterative approaches, by J. Liu, D. Muñoz de la Peña, P.D. Christofides -- 30 Multi-layer decentralized MPC of large-scale networked systems, by C. Ocampo-Martinez, V. Puig, J.M. Grosso, S. Montes-de-Oca -- 31 Distributed MPC using reinforcement learning based negotiation: Application to large scale systems, by B. Morcego, V. Javalera, V. Puig, R. Vito -- 32 Hierarchical MPC for multiple commodity transportation networks, by J.L. Nabais, R.R. Negenborn, R.B. Carmona-Benítez, L.F. Mendonça, M.A. Botto -- 33 On the use of suboptimal solvers for efficient cooperative distributed linear MPC, by G. Pannocchia, S.J. Wright, J.B. Rawlings -- 34 Cooperative distributed MPC integrating a steady state target optimizer, by A. Ferramosca, D. Limon, A.H. González -- 35 Cooperative MPC with guaranteed exponential stability, by A. Ferramosca. |
| Record Nr. | UNINA-9910299709903321 |
| Dordrecht, Netherlands : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Frontiers of model predictive control / / edited by Tao Zheng
| Frontiers of model predictive control / / edited by Tao Zheng |
| Pubbl/distr/stampa | Rijeka, Croatia : , : IntechOpen, , [2012] |
| Descrizione fisica | 1 online resource (170 pages) : illustrations |
| Disciplina | 629.8 |
| Soggetto topico | Predictive control |
| ISBN | 953-51-6123-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910317643703321 |
| Rijeka, Croatia : , : IntechOpen, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Model based control [[electronic resource] ] : case studies in process engineering / / Paul Serban Agachi ... [et al.]
| Model based control [[electronic resource] ] : case studies in process engineering / / Paul Serban Agachi ... [et al.] |
| Autore | Agachi Paul Șerban |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2006 |
| Descrizione fisica | 1 online resource (291 p.) |
| Disciplina | 660.2815 |
| Altri autori (Persone) | AgachiPaul Serban |
| Soggetto topico |
Chemical engineering
Chemical process control Predictive control |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-08795-5
9786611087951 3-527-60947-4 3-527-60922-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Model Based Control; Table of Contents; Preface; 1 Introduction; 1.1 Introductory Concepts of Process Control; 1.2 Advanced Process Control Techniques; 1.2.1 Key Problems in Advanced Control of Chemical Processes; 1.2.1.1 Nonlinear Dynamic Behavior; 1.2.1.2 Multivariable Interactions between Manipulated and Controlled Variables; 1.2.1.3 Uncertain and Time-Varying Parameters; 1.2.1.4 Deadtime on Inputs and Measurements; 1.2.1.5 Constraints on Manipulated and State Variables; 1.2.1.6 High-Order and Distributed Processes
1.2.1.7 Unmeasured State Variables and Unmeasured and Frequent Disturbances1.2.2 Classification of the Advanced Process Control Techniques; 2 Model Predictive Control; 2.1 Internal Model Control; 2.2 Linear Model Predictive Control; 2.3 Nonlinear Model Predictive Control; 2.3.1 Introduction; 2.3.2 Industrial Model-Based Control: Current Status and Challenges; 2.3.2.1 Challenges in Industrial NMPC; 2.3.3 First Principle (Analytical) Model-Based NMPC; 2.3.4 NMPC with Guaranteed Stability; 2.3.5 Artificial Neural Network (ANN)-Based Nonlinear Model Predictive Control; 2.3.5.1 Introduction 2.3.5.2 Basics of ANNs2.3.5.3 Algorithms for ANN Training; 2.3.5.4 Direct ANN Model-Based NMPC (DANMPC); 2.3.5.5 Stable DANMPC Control Law; 2.3.5.6 Inverse ANN Model-Based NMPC; 2.3.5.7 ANN Model-Based NMPC with Feedback Linearization; 2.3.5.8 ANN Model-Based NMPC with On-Line Linearization; 2.3.6 NMPC Software for Simulation and Practical Implementation; 2.3.6.1 Computational Issues; 2.3.6.2 NMPC Software for Simulation; 2.3.6.3 NMPC Software for Practical Implementation; 2.4 MPC General Tuning Guidelines; 2.4.1 Model Horizon (n); 2.4.2 Prediction Horizon (p); 2.4.3 Control Horizon (m) 2.4.4 Sampling Time (T)2.4.5 Weight Matrices (Γ(/)(y) and Γ(/)(u)); 2.4.6 Feedback Filter; 2.4.7 Dynamic Sensitivity Used for MPC Tuning; 3 Case Studies; 3.1 Productivity Optimization and Nonlinear Model Predictive Control (NMPC) of a PVC Batch Reactor; 3.1.1 Introduction; 3.1.2 Dynamic Model of the PVC Batch Reactor; 3.1.2.1 The Complex Analytical Model of the PVC Reactor; 3.1.2.2 Morphological Model; 3.1.2.3 The Simplified Dynamic Analytical Model of the PVC Reactor; 3.1.3 Productivity Optimization of the PVC Batch Reactor; 3.1.3.1 The Basic Elements of GAs 3.1.3.2 Optimization of the PVC Reactor Productivity through the Initial Concentration of Initiators3.1.3.3 Optimization of PVC Reactor Productivity by obtaining an Optimal Temperature Policy; 3.1.4 NMPC of the PVC Batch Reactor; 3.1.4.1 Multiple On-Line Linearization-Based NMPC of the PVC Batch Reactor; 3.1.4.2 Sequential NMPC of the PVC Batch Reactor; 3.1.5 Conclusions; 3.1.6 Nomenclature; 3.2 Modeling, Simulation, and Control of a Yeast Fermentation Bioreactor; 3.2.1 First Principle Model of the Continuous Fermentation Bioreactor 3.2.2 Linear Model Identification and LMPC of the Bioreactor |
| Record Nr. | UNINA-9910144003503321 |
|
Agachi Paul Șerban
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| Weinheim, : Wiley-VCH, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Model based control [[electronic resource] ] : case studies in process engineering / / Paul Serban Agachi ... [et al.]
| Model based control [[electronic resource] ] : case studies in process engineering / / Paul Serban Agachi ... [et al.] |
| Autore | Agachi Paul Șerban |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2006 |
| Descrizione fisica | 1 online resource (291 p.) |
| Disciplina | 660.2815 |
| Altri autori (Persone) | AgachiPaul Serban |
| Soggetto topico |
Chemical engineering
Chemical process control Predictive control |
| ISBN |
1-281-08795-5
9786611087951 3-527-60947-4 3-527-60922-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Model Based Control; Table of Contents; Preface; 1 Introduction; 1.1 Introductory Concepts of Process Control; 1.2 Advanced Process Control Techniques; 1.2.1 Key Problems in Advanced Control of Chemical Processes; 1.2.1.1 Nonlinear Dynamic Behavior; 1.2.1.2 Multivariable Interactions between Manipulated and Controlled Variables; 1.2.1.3 Uncertain and Time-Varying Parameters; 1.2.1.4 Deadtime on Inputs and Measurements; 1.2.1.5 Constraints on Manipulated and State Variables; 1.2.1.6 High-Order and Distributed Processes
1.2.1.7 Unmeasured State Variables and Unmeasured and Frequent Disturbances1.2.2 Classification of the Advanced Process Control Techniques; 2 Model Predictive Control; 2.1 Internal Model Control; 2.2 Linear Model Predictive Control; 2.3 Nonlinear Model Predictive Control; 2.3.1 Introduction; 2.3.2 Industrial Model-Based Control: Current Status and Challenges; 2.3.2.1 Challenges in Industrial NMPC; 2.3.3 First Principle (Analytical) Model-Based NMPC; 2.3.4 NMPC with Guaranteed Stability; 2.3.5 Artificial Neural Network (ANN)-Based Nonlinear Model Predictive Control; 2.3.5.1 Introduction 2.3.5.2 Basics of ANNs2.3.5.3 Algorithms for ANN Training; 2.3.5.4 Direct ANN Model-Based NMPC (DANMPC); 2.3.5.5 Stable DANMPC Control Law; 2.3.5.6 Inverse ANN Model-Based NMPC; 2.3.5.7 ANN Model-Based NMPC with Feedback Linearization; 2.3.5.8 ANN Model-Based NMPC with On-Line Linearization; 2.3.6 NMPC Software for Simulation and Practical Implementation; 2.3.6.1 Computational Issues; 2.3.6.2 NMPC Software for Simulation; 2.3.6.3 NMPC Software for Practical Implementation; 2.4 MPC General Tuning Guidelines; 2.4.1 Model Horizon (n); 2.4.2 Prediction Horizon (p); 2.4.3 Control Horizon (m) 2.4.4 Sampling Time (T)2.4.5 Weight Matrices (Γ(/)(y) and Γ(/)(u)); 2.4.6 Feedback Filter; 2.4.7 Dynamic Sensitivity Used for MPC Tuning; 3 Case Studies; 3.1 Productivity Optimization and Nonlinear Model Predictive Control (NMPC) of a PVC Batch Reactor; 3.1.1 Introduction; 3.1.2 Dynamic Model of the PVC Batch Reactor; 3.1.2.1 The Complex Analytical Model of the PVC Reactor; 3.1.2.2 Morphological Model; 3.1.2.3 The Simplified Dynamic Analytical Model of the PVC Reactor; 3.1.3 Productivity Optimization of the PVC Batch Reactor; 3.1.3.1 The Basic Elements of GAs 3.1.3.2 Optimization of the PVC Reactor Productivity through the Initial Concentration of Initiators3.1.3.3 Optimization of PVC Reactor Productivity by obtaining an Optimal Temperature Policy; 3.1.4 NMPC of the PVC Batch Reactor; 3.1.4.1 Multiple On-Line Linearization-Based NMPC of the PVC Batch Reactor; 3.1.4.2 Sequential NMPC of the PVC Batch Reactor; 3.1.5 Conclusions; 3.1.6 Nomenclature; 3.2 Modeling, Simulation, and Control of a Yeast Fermentation Bioreactor; 3.2.1 First Principle Model of the Continuous Fermentation Bioreactor 3.2.2 Linear Model Identification and LMPC of the Bioreactor |
| Record Nr. | UNINA-9910830387603321 |
|
Agachi Paul Șerban
|
||
| Weinheim, : Wiley-VCH, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Model based control [[electronic resource] ] : case studies in process engineering / / Paul Serban Agachi ... [et al.]
| Model based control [[electronic resource] ] : case studies in process engineering / / Paul Serban Agachi ... [et al.] |
| Autore | Agachi Paul Șerban |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2006 |
| Descrizione fisica | 1 online resource (291 p.) |
| Disciplina | 660.2815 |
| Altri autori (Persone) | AgachiPaul Serban |
| Soggetto topico |
Chemical engineering
Chemical process control Predictive control |
| ISBN |
1-281-08795-5
9786611087951 3-527-60947-4 3-527-60922-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Model Based Control; Table of Contents; Preface; 1 Introduction; 1.1 Introductory Concepts of Process Control; 1.2 Advanced Process Control Techniques; 1.2.1 Key Problems in Advanced Control of Chemical Processes; 1.2.1.1 Nonlinear Dynamic Behavior; 1.2.1.2 Multivariable Interactions between Manipulated and Controlled Variables; 1.2.1.3 Uncertain and Time-Varying Parameters; 1.2.1.4 Deadtime on Inputs and Measurements; 1.2.1.5 Constraints on Manipulated and State Variables; 1.2.1.6 High-Order and Distributed Processes
1.2.1.7 Unmeasured State Variables and Unmeasured and Frequent Disturbances1.2.2 Classification of the Advanced Process Control Techniques; 2 Model Predictive Control; 2.1 Internal Model Control; 2.2 Linear Model Predictive Control; 2.3 Nonlinear Model Predictive Control; 2.3.1 Introduction; 2.3.2 Industrial Model-Based Control: Current Status and Challenges; 2.3.2.1 Challenges in Industrial NMPC; 2.3.3 First Principle (Analytical) Model-Based NMPC; 2.3.4 NMPC with Guaranteed Stability; 2.3.5 Artificial Neural Network (ANN)-Based Nonlinear Model Predictive Control; 2.3.5.1 Introduction 2.3.5.2 Basics of ANNs2.3.5.3 Algorithms for ANN Training; 2.3.5.4 Direct ANN Model-Based NMPC (DANMPC); 2.3.5.5 Stable DANMPC Control Law; 2.3.5.6 Inverse ANN Model-Based NMPC; 2.3.5.7 ANN Model-Based NMPC with Feedback Linearization; 2.3.5.8 ANN Model-Based NMPC with On-Line Linearization; 2.3.6 NMPC Software for Simulation and Practical Implementation; 2.3.6.1 Computational Issues; 2.3.6.2 NMPC Software for Simulation; 2.3.6.3 NMPC Software for Practical Implementation; 2.4 MPC General Tuning Guidelines; 2.4.1 Model Horizon (n); 2.4.2 Prediction Horizon (p); 2.4.3 Control Horizon (m) 2.4.4 Sampling Time (T)2.4.5 Weight Matrices (Γ(/)(y) and Γ(/)(u)); 2.4.6 Feedback Filter; 2.4.7 Dynamic Sensitivity Used for MPC Tuning; 3 Case Studies; 3.1 Productivity Optimization and Nonlinear Model Predictive Control (NMPC) of a PVC Batch Reactor; 3.1.1 Introduction; 3.1.2 Dynamic Model of the PVC Batch Reactor; 3.1.2.1 The Complex Analytical Model of the PVC Reactor; 3.1.2.2 Morphological Model; 3.1.2.3 The Simplified Dynamic Analytical Model of the PVC Reactor; 3.1.3 Productivity Optimization of the PVC Batch Reactor; 3.1.3.1 The Basic Elements of GAs 3.1.3.2 Optimization of the PVC Reactor Productivity through the Initial Concentration of Initiators3.1.3.3 Optimization of PVC Reactor Productivity by obtaining an Optimal Temperature Policy; 3.1.4 NMPC of the PVC Batch Reactor; 3.1.4.1 Multiple On-Line Linearization-Based NMPC of the PVC Batch Reactor; 3.1.4.2 Sequential NMPC of the PVC Batch Reactor; 3.1.5 Conclusions; 3.1.6 Nomenclature; 3.2 Modeling, Simulation, and Control of a Yeast Fermentation Bioreactor; 3.2.1 First Principle Model of the Continuous Fermentation Bioreactor 3.2.2 Linear Model Identification and LMPC of the Bioreactor |
| Record Nr. | UNINA-9910840517903321 |
|
Agachi Paul Șerban
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| Weinheim, : Wiley-VCH, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Model predictive control / / edited by Tao Zheng
| Model predictive control / / edited by Tao Zheng |
| Pubbl/distr/stampa | Rijeka, Croatia : , : InTech, , [2010] |
| Descrizione fisica | 1 online resource (306 pages) : illustrations |
| Disciplina | 629.8 |
| Soggetto topico | Predictive control |
| ISBN | 953-51-5935-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910137729703321 |
| Rijeka, Croatia : , : InTech, , [2010] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Model predictive control for AC motors : robustness and accuracy improvement techniques / / edited by Yaofei Han, Chao Gong and Jinqiu Gao
| Model predictive control for AC motors : robustness and accuracy improvement techniques / / edited by Yaofei Han, Chao Gong and Jinqiu Gao |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (137 pages) |
| Disciplina | 629.8 |
| Soggetto topico |
Electric motors - Automatic control
Automatic control Predictive control |
| ISBN |
981-16-8066-3
981-16-8065-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Model Predictive Control Principles For AC Motors Robustness against Stator Parameter Mismatch Robustness against Rotor Parameter Mismatch Accuracy Improvement of Model Predictive Control |
| Record Nr. | UNINA-9910743354003321 |
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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