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Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910453334503321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910782591603321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca
| Advanced topics on cellular self-organizing nets and chaotic nonlinear dynamics to model and control complex systems [[electronic resource] /] / edited by Riccardo Caponetto, Luigi Fortuna, Mattia Frasca |
| Pubbl/distr/stampa | Hackensakc, NJ, : World Scientific, c2008 |
| Descrizione fisica | 1 online resource (200 p.) |
| Disciplina | 511.3/52 |
| Altri autori (Persone) |
CaponettoR <1966-> (Riccardo)
FortunaL <1953-> (Luigi) FrascaMattia |
| Collana | World Scientific series on nonlinear science |
| Soggetto topico |
Computational complexity
Nonlinear systems - Mathematical models Self-organizing maps System theory - Mathematical models |
| ISBN |
1-281-96803-X
9786611968038 981-281-405-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contributors; List of People Involved in the FIRB Project; Contents; 1. The CNN Paradigm for Complexity; 1.1 Introduction; 1.2 The 3D-CNN Model; 1.3 E3: An Universal Emulator for Complex Systems; 1.4 Emergence of Forms in 3D-CNNs; 1.4.1 Initial conditions; 1.4.2 3D waves in homogeneous and unhomogeneous media; 1.4.3 Chua's circuit; 1.4.4 Lorenz system; 1.4.5 Rössler system; 1.4.6 FitzHugh-Nagumo neuron model; 1.4.7 Hindmarsh-Rose neuron model; 1.4.8 Inferior-Olive neuronmodel; 1.4.9 Izhikevich neuronmodel; 1.4.10 Neuron model exhibiting homoclinic chaos; 1.5 Conclusions
2. Emergent Phenomena in Neuroscience2.1 Introductory Material: Neurons and Models; 2.1.1 Models of excitability; 2.1.2 The Hodgkin-Huxley model; 2.1.3 The FitzHugh-Nagumo model; 2.1.4 Class I and class II excitability; 2.1.5 Other neuronmodels; 2.2 Electronic Implementation of NeuronModels; 2.2.1 Implementation of single cell neuron dynamics; 2.2.2 Implementation of systems with many neurons; 2.3 Local Activity Theory for Systems of IO Neurons; 2.3.1 The theory of local activity for one-port and two-port systems 2.3.2 The local activity and the edge of chaos regions of the inferior olive neuron2.4 Simulation of IO Systems: Emerging Results; 2.4.1 The paradigm of local active wave computation for image processing; 2.4.2 Local active wave computation based paradigm: 3D-shape processing; 2.5 Networks of HR Neurons; 2.5.1 The neural model; 2.5.2 Parameters for dynamical analysis; 2.5.3 Dynamical effects of topology on synchronization; 2.6 Neurons in Presence of Noise; 2.7 Conclusions; 3. Frequency Analysis and Identification in Atomic Force Microscopy; 3.1 Introduction; 3.2 AFM Modeling 3.2.1 Piecewise interaction force3.2.2 Lennard Jones-like interaction force; 3.3 Frequency Analysis via Harmonic Balance; 3.3.1 Piecewise interaction model analysis; 3.3.2 Lennard Jones-like hysteretic model analysis; 3.4 Identification of the Tip-Sample Force Model; 3.4.1 Identification method; 3.4.2 Experimental results; 3.5 Conclusions; References; 4. Control and Parameter Estimation of Systems with Low-Dimensional Chaos - The Role of Peak-to-Peak Dynamics; 4.1 Introduction; 4.2 Peak-to-Peak Dynamics; 4.3 Control System Design; 4.3.1 PPD modeling and control 4.3.2 The impact of noise and sampling frequency4.3.3 PPD reconstruction; 4.4 Parameter Estimation; 4.4.1 Derivation of the "empirical PPP"; 4.4.2 Interpolation of the "empirical PPP"; 4.4.3 Optimization; 4.4.4 Example of application; 4.5 Concluding Remarks; References; 5. Synchronization of Complex Networks; 5.1 Introduction; 5.2 Synchronization of Interacting Oscillators; 5.3 From Local to Long-Range Connections; 5.4 The Master Stability Function; 5.4.1 The case of continuous time systems; 5.4.2 The Master stability function for coupled maps 5.5 Key Elements for the Assessing of Synchronizability |
| Record Nr. | UNINA-9910825960903321 |
| Hackensakc, NJ, : World Scientific, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired emergent control of locomotion systems [[electronic resource] /] / Mattia Frasca, Paolo Arena, Luigi Fortuna
| Bio-inspired emergent control of locomotion systems [[electronic resource] /] / Mattia Frasca, Paolo Arena, Luigi Fortuna |
| Autore | Frasca Mattia |
| Pubbl/distr/stampa | River Edge, N.J. ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (211 p.) |
| Disciplina | 629.8932 |
| Altri autori (Persone) |
ArenaPaolo <1966->
FortunaL <1953-> (Luigi) |
| Collana | World Scientific series on nonlinear science. Series A |
| Soggetto topico |
Robotics
Mobile robots Neural networks (Computer science) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-34761-2
9786611347611 981-256-230-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preliminaries; Preface; Contents; 1. Introduction; 2. CNN-based Central Pattern Generators; 3. CNN-based CPGs with sensory feedback and VLSI implementation; 4. Decentralized locomotion control; 5. A gallery of bio-inspired robots; 6. High-level analog control: attitude control and Motor Maps; 7. High-level analog control: Turing patterns and autowaves; 8. Conclusions; Appendix A HexaDyn and CNNLab: two tools for bio-inspired locomotion control; Appendix B Design of the CNN circuit; Appendix C A Chaos-based sensor for bio-inspired robots; References; Index |
| Record Nr. | UNINA-9910450133003321 |
Frasca Mattia
|
||
| River Edge, N.J. ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired emergent control of locomotion systems [[electronic resource] /] / Mattia Frasca, Paolo Arena, Luigi Fortuna
| Bio-inspired emergent control of locomotion systems [[electronic resource] /] / Mattia Frasca, Paolo Arena, Luigi Fortuna |
| Autore | Frasca Mattia |
| Pubbl/distr/stampa | River Edge, N.J. ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (211 p.) |
| Disciplina | 629.8932 |
| Altri autori (Persone) |
ArenaPaolo <1966->
FortunaL <1953-> (Luigi) |
| Collana | World Scientific series on nonlinear science. Series A |
| Soggetto topico |
Robotics
Mobile robots Neural networks (Computer science) |
| ISBN |
1-281-34761-2
9786611347611 981-256-230-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preliminaries; Preface; Contents; 1. Introduction; 2. CNN-based Central Pattern Generators; 3. CNN-based CPGs with sensory feedback and VLSI implementation; 4. Decentralized locomotion control; 5. A gallery of bio-inspired robots; 6. High-level analog control: attitude control and Motor Maps; 7. High-level analog control: Turing patterns and autowaves; 8. Conclusions; Appendix A HexaDyn and CNNLab: two tools for bio-inspired locomotion control; Appendix B Design of the CNN circuit; Appendix C A Chaos-based sensor for bio-inspired robots; References; Index |
| Record Nr. | UNINA-9910783219403321 |
|
Frasca Mattia
|
||
| River Edge, N.J. ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired emergent control of locomotion systems [[electronic resource] /] / Mattia Frasca, Paolo Arena, Luigi Fortuna
| Bio-inspired emergent control of locomotion systems [[electronic resource] /] / Mattia Frasca, Paolo Arena, Luigi Fortuna |
| Autore | Frasca Mattia |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | River Edge, N.J. ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (211 p.) |
| Disciplina | 629.8932 |
| Altri autori (Persone) |
ArenaPaolo <1966->
FortunaL <1953-> (Luigi) |
| Collana | World Scientific series on nonlinear science. Series A |
| Soggetto topico |
Robotics
Mobile robots Neural networks (Computer science) |
| ISBN |
1-281-34761-2
9786611347611 981-256-230-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preliminaries; Preface; Contents; 1. Introduction; 2. CNN-based Central Pattern Generators; 3. CNN-based CPGs with sensory feedback and VLSI implementation; 4. Decentralized locomotion control; 5. A gallery of bio-inspired robots; 6. High-level analog control: attitude control and Motor Maps; 7. High-level analog control: Turing patterns and autowaves; 8. Conclusions; Appendix A HexaDyn and CNNLab: two tools for bio-inspired locomotion control; Appendix B Design of the CNN circuit; Appendix C A Chaos-based sensor for bio-inspired robots; References; Index |
| Record Nr. | UNINA-9910809395403321 |
|
Frasca Mattia
|
||
| River Edge, N.J. ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From physics to control through an emergent view [[electronic resource] /] / edited by Luigi Fortuna, Alexander Fradkov, Mattia Frasca
| From physics to control through an emergent view [[electronic resource] /] / edited by Luigi Fortuna, Alexander Fradkov, Mattia Frasca |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (396 p.) |
| Disciplina | 003.5 |
| Altri autori (Persone) |
FortunaL <1953-> (Luigi)
FradkovA. L (Aleksandr Lʹvovich) FrascaMattia |
| Collana | World Scientific series on nonlinear science. Series B |
| Soggetto topico |
Control theory
Physics - Data processing Mathematical physics |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-14465-4
9786613144652 981-4313-15-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. A. Distinguished talks (plenary talks and EPS talks) -- pt. B. Modelling and control of coupled stochastic oscillators -- pt. C. Multistability in natural and laboratory-scale nonlinear systems -- pt. D. Linear and matritial algebra, open problems related to control theory -- pt. E. Localization of oscillations in dynamical systems and control of oscillatory delayed-coupled networks -- pt. F. Microfluidics : theory, methods and applications -- pt. G. Mathematical modelling of dynamic systems for volcano physics -- pt. H. Geometric control for quantum and classical models -- pt. I. Control problems for dynamical systems under uncertainty and conflict -- pt. J. Physics and control in fusion plasma devices -- pt. K. Modeling and optimization of beam and plasma dynamics. |
| Record Nr. | UNINA-9910456236103321 |
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From physics to control through an emergent view [[electronic resource] /] / edited by Luigi Fortuna, Alexander Fradkov, Mattia Frasca
| From physics to control through an emergent view [[electronic resource] /] / edited by Luigi Fortuna, Alexander Fradkov, Mattia Frasca |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (396 p.) |
| Disciplina | 003.5 |
| Altri autori (Persone) |
FortunaL <1953-> (Luigi)
FradkovA. L (Aleksandr Lʹvovich) FrascaMattia |
| Collana | World Scientific series on nonlinear science. Series B |
| Soggetto topico |
Control theory
Physics - Data processing Mathematical physics |
| ISBN |
1-283-14465-4
9786613144652 981-4313-15-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. A. Distinguished talks (plenary talks and EPS talks) -- pt. B. Modelling and control of coupled stochastic oscillators -- pt. C. Multistability in natural and laboratory-scale nonlinear systems -- pt. D. Linear and matritial algebra, open problems related to control theory -- pt. E. Localization of oscillations in dynamical systems and control of oscillatory delayed-coupled networks -- pt. F. Microfluidics : theory, methods and applications -- pt. G. Mathematical modelling of dynamic systems for volcano physics -- pt. H. Geometric control for quantum and classical models -- pt. I. Control problems for dynamical systems under uncertainty and conflict -- pt. J. Physics and control in fusion plasma devices -- pt. K. Modeling and optimization of beam and plasma dynamics. |
| Record Nr. | UNINA-9910780712903321 |
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From physics to control through an emergent view [[electronic resource] /] / edited by Luigi Fortuna, Alexander Fradkov, Mattia Frasca
| From physics to control through an emergent view [[electronic resource] /] / edited by Luigi Fortuna, Alexander Fradkov, Mattia Frasca |
| Pubbl/distr/stampa | Hackensack, N.J., : World Scientific, c2010 |
| Descrizione fisica | 1 online resource (396 p.) |
| Disciplina | 003.5 |
| Altri autori (Persone) |
FortunaL <1953-> (Luigi)
FradkovA. L (Aleksandr Lʹvovich) FrascaMattia |
| Collana | World Scientific series on nonlinear science. Series B |
| Soggetto topico |
Control theory
Physics - Data processing Mathematical physics |
| ISBN |
1-283-14465-4
9786613144652 981-4313-15-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. A. Distinguished talks (plenary talks and EPS talks) -- pt. B. Modelling and control of coupled stochastic oscillators -- pt. C. Multistability in natural and laboratory-scale nonlinear systems -- pt. D. Linear and matritial algebra, open problems related to control theory -- pt. E. Localization of oscillations in dynamical systems and control of oscillatory delayed-coupled networks -- pt. F. Microfluidics : theory, methods and applications -- pt. G. Mathematical modelling of dynamic systems for volcano physics -- pt. H. Geometric control for quantum and classical models -- pt. I. Control problems for dynamical systems under uncertainty and conflict -- pt. J. Physics and control in fusion plasma devices -- pt. K. Modeling and optimization of beam and plasma dynamics. |
| Record Nr. | UNINA-9910821271103321 |
| Hackensack, N.J., : World Scientific, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||