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Record Nr. |
UNINA9910458697103321 |
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Titolo |
Chaos in ecology [[electronic resource] ] : experimental nonlinear dynamics / / J.M. Cushing ... [et al.] |
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Pubbl/distr/stampa |
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Amsterdam, : Boston, : Academic Press, c2003 |
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ISBN |
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1-281-02713-8 |
9786611027131 |
0-08-052887-2 |
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Descrizione fisica |
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1 online resource (241 p.) |
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Collana |
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Academic Press theoretical ecology series |
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Altri autori (Persone) |
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CushingJ. M <1942-> (Jim Michael) |
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Disciplina |
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Soggetti |
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Ecology - Mathematical models |
Population biology - Mathematical models |
Chaotic behavior in systems |
Nonlinear theories |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 183-193). |
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Nota di contenuto |
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Front Cover; Chaos in Ecology: Experimental Nonlinear Dynamics; Copyright Page; Contents; Foreword; Preface; Chapter 1. Introduction; 1.1 What Is Chaos?; 1.2 Bifurcations and Chaos; 1.3 The Hunt for Chaos; 1.4 Mathematical Models and Data; Chapter 2. Models; 2.1 The Deterministic LPA Model; 2.2 The Flour Beetle; 2.3 Dynamics of the LPA Model; 2.4 A Stochastic LPA Model; 2.5 Parameter Estimation; 2.6 Model Validation; 2.7 Predicted Dynamics; 2.8 Concluding Remarks; Chapter 3. Bifurcations; 3.1 A Bifurcation Experiment; 3.2 The Experimental Results; 3.3 Concluding Remarks; Chapter 4. Chaos |
4.1 A Route-to-Chaos4.2 Demographic Variability; 4.3 Analysis of the Experiment; 4.4 Concluding Remarks; Chapter 5. Patterns in Chaos; 5.1 Sensitivity to Initial Conditions; 5.2 Temporal Patterns; 5.3 Lattice Effects; 5.4 Concluding Remarks; Chapter 6. What We Learned; Bibliography; Appendix; A The Desharnais Experiment; B The Bifurcation Experiment; C The Chaos Experiment; Index |
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Sommario/riassunto |
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It is impossible to predict the exact behavior of all biological systems and how these same systems are exemplified by patterns of complexity |
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and regularity. Decades of research in ecology have documented how these sorts of patterns are the consequences of deceptively simple rules that determine the nature of the patterns created. Chaos in Ecology will explain how simple beginnings result in complicated results.Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dyn |
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2. |
Record Nr. |
UNINA9911018745603321 |
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Autore |
Kang Wen |
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Titolo |
Delay-Robust Control of Distributed Parameter Systems / / by Wen Kang, Emilia Fridman |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (392 pages) |
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Collana |
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Advances in Delays and Dynamics, , 2197-1161 ; ; 13 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Automatic control |
Robotics |
Automation |
System theory |
Control theory |
Control, Robotics, Automation |
Systems Theory, Control |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Constrained Control of PDE Systems -- Sampled-Data and Delayed Control of PDE Systems -- Event-Triggered Control of PDE Systems -- Disturbance Rejection of PDE Systems. |
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Sommario/riassunto |
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This monograph examines stability in complex distributed parameter systems using advanced robust control methods. It presents Lyapunov-based conditions in the form of linear matrix inequalities to establish the stability analysis for the case of constrained control, sampled-data control, event-triggered control, and disturbance rejection control. The |
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book offers innovative strategies to tackle issues related to nonlinearity, uncertainties, and delays. The theoretical contributions of this work are significant, providing valuable insights that extend beyond academic theory into practical engineering applications. The methods discussed are poised to influence real-world problem-solving in this field. The insights and methods presented will be invaluable to both researchers and practitioners, offering a deeper understanding of the impacts of time delays and advanced control techniques. |
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