Last edited by Shakashakar

Wednesday, November 18, 2020 | History

2 edition of **Nonlinear time-discrete systems** found in the catalog.

Nonlinear time-discrete systems

Michael GГ¶ssel

- 145 Want to read
- 5 Currently reading

Published
**1982** by Springer-Verlag in Berlin, New York .

Written in English

- Differential equations, Nonlinear.,
- System analysis.

**Edition Notes**

Statement | M. Gössel. |

Series | Lecture notes in control and information sciences -- 41 |

The Physical Object | |
---|---|

Pagination | 115 p. : |

Number of Pages | 115 |

ID Numbers | |

Open Library | OL22089200M |

This book presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous systems. The book builds systematically from actuator nonlinearities and strict feedback in nonlinear systems to nonstrict feedback, system identification, model reference adaptive control, and novel optimal control using the Hamilton-Jacobi-Bellman :// compute true Lyapunov functions for general nonlinear discrete time systems. In this paper we adapt the continuous and piecewise-aﬃne (CPA) method to com-pute Lyapunov functions for continuous time systems, ﬁrst presented in [21, 22] and in a more reﬁned form delivering true Lyapunov functions in [33, 34], to discrete time Nonlinear Discrete Dynamical Systems. In book: Dynamical Systems with Applications using Python, pp For the first time, the nonlinear model of blood cell production and destruction In this paper, global adaptive finite-time stabilization is investigated by logic-based switching control for a class of uncertain nonlinear systems with the powers of positive odd rational ://

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Nonlinear Time-discrete Systems A General Approach by Nonlinear Superposition. Authors (view affiliations) M. Gössel Nonlinear Time-discrete Systems A General Approach by Nonlinear Superposition.

Authors: Gössel, M. Free Preview. Buy this book eB59 € price for Spain (gross) Buy eBook ISBN ; Digitally watermarked, DRM-free; Included format: PDF; ebooks can be used on all reading devices › Engineering › Control Engineering.

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks.

First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems.

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Contr. Opt., This book brings together two emerging research areas: synchronization in coupled nonlinear systems and complex networks, and study conditions under which a complex network of dynamical systems synchronizes.

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Although most engineering applications are concerned with (physical) continuous time systems, discrete-time systems Discrete-time models are easily obtained for linear continuous-time systems from their transfer functions or the solution of the state equations.

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A definition of security in probability is adopted to account for the transient dynamics of controlled systems. The purpose of the problem under consideration is to design a dynamic output feedback controller This book examines discrete dynamical systems with memory—nonlinear systems that exist extensively in biological organisms and financial and economic organizations, and time-delay systems that can be discretized into the memorized, discrete dynamical systems.

It book further discusses stability › Engineering › Computational Intelligence and Complexity. C.4 Time evolution and solitons for the Toda lattice and nonlinear ladder network D Nonlinear Schr¨odinger systems with a potential term D.1 Continuous NLS systems with a potential term D.2 Discrete NLS systems with a potential term E NLS systems in the limit of large amplitudes Bibliography Index Examining neurocontroller design in discrete-time for the first time, "Neural Network Control of Nonlinear Discrete-Time Systems" presents powerful modern control techniques based on the parallelism and adaptive capabilities of biological nervous :// Neural Network Control of Nonlinear Discrete-Time Systems - CRC Press Book Intelligent systems are a hallmark of modern feedback control systems.

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Book • Edited by: A.J. KRENER and D.Q. MAYNE. Browse book content Exponential stability and asymptotic perturbed stability results are derived for nonlinear discrete In this chapter, the basic concepts of nonlinear discrete systems will be presented.

The local and global theory of stability and bifurcation for nonlinear discrete systems will be :// This monograph deals with control problems of discrete-time dynamical systems which include linear and nonlinear input/output relations.

立即下载 Control Prob 上传时间： 资源大 Analysis and Synthesis of Polynomial Discrete-time Systems: An SOS Approach addresses the analysis and design of polynomial discrete-time control systems.

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We study duality, invariance under feedback, an extended version of the lemma of Lyapunov, existence of stabilizing feedback laws, linear quadratic filtering and control.

报告题目: Stabilizability of discrete-time nonlinear uncertain systems.报告人：李婵颖 副教授报告人单位：中国科学院数学与系统科学研究院报告时间：11月28日（周三）下午报告地点：数学学院西报告厅摘要：An interesting phenomenon DISCRETE-TIME NONLINEAR SYSTEMS ,BJÖRNS.RÜFFER,T Abstract.

Three similar convergence notions are considered. Two of them are the long established notions of convergent dynamics and in-cremental stability. The other is the more recent notion of contrac-tion analysis. All three convergence Proc. Estonian Acad. Sci. Phys. Math.,56, 4, – Transfer functions of discrete-time nonlinear control systems Miroslav Halása and Ülle Kottab a Institute of Control and Industrial Informatics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkoviˇcova 3,