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Metaheuristic optimization for the design of automatic control laws / / Guillaume Sandou
| Metaheuristic optimization for the design of automatic control laws / / Guillaume Sandou |
| Autore | Sandou Guillaume |
| Pubbl/distr/stampa | Hoboken, NJ : , : ISTE Ltd/John Wiley and Sons Inc, , 2013 |
| Descrizione fisica | 1 online resource (140 p.) |
| Disciplina | 519.6 |
| Collana | Focus automation and control series |
| Soggetto topico |
Mathematical optimization
Heuristic algorithms |
| ISBN |
1-118-79651-9
1-118-79635-7 1-118-79648-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover ""; ""Title Page ""; ""Contents ""; ""Preface ""; ""Chapter 1. Introduction And Motivations ""; ""1.1. Introduction: automatic control and optimization ""; ""1.2. Motivations to use metaheuristic algorithms ""; ""1.3. Organization of the book ""; ""Chapter 2. Symbolic Regression ""
""2.1. Identification problematic and brief state of the art """"2.2. Problem statement and modeling ""; ""2.2.1. Problem statement ""; ""2.2.2. Problem modeling ""; ""2.3. Ant colony optimization ""; ""2.3.1. Ant colony social behavior ""; ""2.3.2. Ant colony optimization "" ""2.3.3. Ant colony for the identification of nonlinear functions with unknown structure """"2.4. Numerical results ""; ""2.4.1. Parameter settings ""; ""2.4.2. Experimental results ""; ""2.5. Discussion ""; ""2.5.1. Considering real variables ""; ""2.5.2. Local minima "" ""2.5.3. Identification of nonlinear dynamical systems """"2.6. A note on genetic algorithms for symbolic regression ""; ""2.7. Conclusions ""; ""Chapter 3. Pid Design Using Particle Swarm Optimization ""; ""3.1. Introduction ""; ""3.2. Controller tuning: a hard optimization problem "" ""3.2.1. Problem framework """"3.2.2. Expressions of time domain specifications ""; ""3.2.3. Expressions of frequency domain specifications ""; ""3.2.4. Analysis of the optimization problem ""; ""3.3. Particle swarm optimization implementation ""; ""3.4. PID tuning optimization "" ""3.4.1. Case study: magnetic levitation "" |
| Record Nr. | UNINA-9910139015503321 |
Sandou Guillaume
|
||
| Hoboken, NJ : , : ISTE Ltd/John Wiley and Sons Inc, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Metaheuristic optimization for the design of automatic control laws / / Guillaume Sandou
| Metaheuristic optimization for the design of automatic control laws / / Guillaume Sandou |
| Autore | Sandou Guillaume |
| Pubbl/distr/stampa | Hoboken, NJ : , : ISTE Ltd/John Wiley and Sons Inc, , 2013 |
| Descrizione fisica | 1 online resource (140 p.) |
| Disciplina | 519.6 |
| Collana | Focus automation and control series |
| Soggetto topico |
Mathematical optimization
Heuristic algorithms |
| ISBN |
1-118-79651-9
1-118-79635-7 1-118-79648-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover ""; ""Title Page ""; ""Contents ""; ""Preface ""; ""Chapter 1. Introduction And Motivations ""; ""1.1. Introduction: automatic control and optimization ""; ""1.2. Motivations to use metaheuristic algorithms ""; ""1.3. Organization of the book ""; ""Chapter 2. Symbolic Regression ""
""2.1. Identification problematic and brief state of the art """"2.2. Problem statement and modeling ""; ""2.2.1. Problem statement ""; ""2.2.2. Problem modeling ""; ""2.3. Ant colony optimization ""; ""2.3.1. Ant colony social behavior ""; ""2.3.2. Ant colony optimization "" ""2.3.3. Ant colony for the identification of nonlinear functions with unknown structure """"2.4. Numerical results ""; ""2.4.1. Parameter settings ""; ""2.4.2. Experimental results ""; ""2.5. Discussion ""; ""2.5.1. Considering real variables ""; ""2.5.2. Local minima "" ""2.5.3. Identification of nonlinear dynamical systems """"2.6. A note on genetic algorithms for symbolic regression ""; ""2.7. Conclusions ""; ""Chapter 3. Pid Design Using Particle Swarm Optimization ""; ""3.1. Introduction ""; ""3.2. Controller tuning: a hard optimization problem "" ""3.2.1. Problem framework """"3.2.2. Expressions of time domain specifications ""; ""3.2.3. Expressions of frequency domain specifications ""; ""3.2.4. Analysis of the optimization problem ""; ""3.3. Particle swarm optimization implementation ""; ""3.4. PID tuning optimization "" ""3.4.1. Case study: magnetic levitation "" |
| Record Nr. | UNINA-9910809791203321 |
|
Sandou Guillaume
|
||
| Hoboken, NJ : , : ISTE Ltd/John Wiley and Sons Inc, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||