Nonlinear industrial control systems : optimal polynomial systems and state-space approach /: optimal polynomial systems and state-space approach. (2020)

• Record Type: Book
• Further Information: Note: Michael J. Grimble, Pawel Majecki.
• Authors: Grimble, Michael J; Majecki, Paweł
• Contents: Part I: Background.- Introduction to Nonlinear Systems.- Nonlinear Systems Modelling and Identification.- Part II: Polynomial Systems.- Introduction to Nonlinear Generalized Minimum Variance Control.- Nonlinear Generalized Minimum Variance Control Design Issues.- Introduction to Factorised NGMV Nonlinear Controls.- H-infinity Robust Control for Nonlinear Systems.- Design Procedures in the Presence of Saturation and Other Nonlinearities.- Part III: State-space Systems.- Space Approach to NGMV Control.- Design Issues and NGMV Predictive Control.- Basic and Factorised NGMV Control of Continuous-time Systems.- Part IV: Nonlinear System Benchmarking Nonlinear Controls.- Dual Nonlinear Estimation Problems.- Neural Networks, Fuzzy Control and Learning.- Part V: Industrial Applications.- Nonlinear Industrial Process Control Applications.- Nonlinear Automotive, Aerospace and Marine Applications.
• Publisher Details: London : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (764 pages)
• Subjects: 629.89; Nonlinear control theory; Process control
• Languages: English
• ISBNs: 9781447174578
• Related ISBNs: 9781447174554
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.