Nonlinear Predictive Control Using Wiener Models: Computationally Efficient Approaches for Polynomial and Neural Structures
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2022
Cham Springer |
| Edition: | 1st ed. 2022 |
| Series: | Studies in Systems, Decision and Control
389 |
| Subjects: | |
| Online Access: | BFB01 BTU01 FAB01 FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FWS01 FWS02 HTW01 TUM01 UBR01 UBT01 UBY01 UER01 UPA01 FFW01 Volltext |
| Physical Description: | 1 Online-Ressource (XXIII, 343 p. 167 illus., 121 illus. in color) |
| ISBN: | 9783030838157 |
| ISSN: | 2198-4190 |
| DOI: | 10.1007/978-3-030-83815-7 |
Staff View
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| author | Ławryńczuk, Maciej |
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| id | DE-604.BV047832603 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:09:29Z |
| indexdate | 2025-02-20T07:03:21Z |
| institution | BVB |
| isbn | 9783030838157 |
| issn | 2198-4190 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033215837 |
| oclc_num | 1298750615 |
| open_access_boolean | |
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| physical | 1 Online-Ressource (XXIII, 343 p. 167 illus., 121 illus. in color) |
| psigel | ZDB-2-INR ZDB-2-INR_2022 |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| series2 | Studies in Systems, Decision and Control |
| spellingShingle | Ławryńczuk, Maciej Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures Control, Robotics, Automation Applied Dynamical Systems Control engineering Robotics Automation Dynamics Nonlinear theories |
| title | Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures |
| title_auth | Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures |
| title_exact_search | Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures |
| title_exact_search_txtP | Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures |
| title_full | Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures by Maciej Ławryńczuk |
| title_fullStr | Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures by Maciej Ławryńczuk |
| title_full_unstemmed | Nonlinear Predictive Control Using Wiener Models Computationally Efficient Approaches for Polynomial and Neural Structures by Maciej Ławryńczuk |
| title_short | Nonlinear Predictive Control Using Wiener Models |
| title_sort | nonlinear predictive control using wiener models computationally efficient approaches for polynomial and neural structures |
| title_sub | Computationally Efficient Approaches for Polynomial and Neural Structures |
| topic | Control, Robotics, Automation Applied Dynamical Systems Control engineering Robotics Automation Dynamics Nonlinear theories |
| topic_facet | Control, Robotics, Automation Applied Dynamical Systems Control engineering Robotics Automation Dynamics Nonlinear theories |
| url | https://doi.org/10.1007/978-3-030-83815-7 |
| work_keys_str_mv | AT ławrynczukmaciej nonlinearpredictivecontrolusingwienermodelscomputationallyefficientapproachesforpolynomialandneuralstructures |