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Kyoko / Teshnehlab

Intelligent Control Based on Flexible Neural Networks

Medium: Buch
ISBN: 978-0-7923-5683-7
Verlag: Springer Netherlands
Erscheinungstermin: 30.06.1999
Lieferfrist: bis zu 10 Tage

References. 57 Chapter 3 Flexible Neural Networks. 61 3. 1 Introduction. 61 3. 2 Flexible Unipolar Sigmoid Functions. 62 3. 3 Flexible Bipolar Sigmoid Functions. 64 3. 4 Learning Algorithms. 66 3. 4. 1 Generalized learning. 67 3. 4. 2 Specialized learning. 71 3. 5 Examples. 72 3. 6 Combinations of Flexible Artificial Neural Network Topologies. 79 3. 7 Summary. 82 References. 82 Chapter 4 Self-Tuning PID Control 85 4. 1 Introduction. 85 4. 2 PID Control. 87 4. 3 Flexible Neural Network as an Indirect Controller. 91 4. 4 Self-tunig PID Control. 93 4. 5 Simulation Examples. 94 4. 5. 1 The Tank model. 94 4. 5. 2 Simulation study. 96 4. 5. 3 Simulation results. 99 4. 6 Summary. 104 References. 105 Chapter 5 Self-Tuning Computed Torque Control: Part I 107 5. 1 Introduction. 107 5. 2 Manipulator Model. 108 5. 3 Computed Torque Control. 110 5. 4 Self-tunig Computed Torque Control. 111 5. 5 Simulation Examples. 115 5. 5. 1 Simultaneous learning of connection weights and SF para- ters. 116 5. 5. 2 Learning of the sigmoid function parameters. 123 Vll 5. 5. 3 Simultaneous learning of SF parameters and output gains 129 5. 6 Summary. 135 References. 135 Chapter 6 Self-Tuning Computed Torque Control: Part II 137 6. 1 Introduction. 137 6. 2 Simplification of Flexible Neural Networks. 138 6. 3 Simulation Examples. 140 6. 3. 1 Simultaneous learning of connection weights and sigmoid function parameters.


Produkteigenschaften


  • Artikelnummer: 9780792356837
  • Medium: Buch
  • ISBN: 978-0-7923-5683-7
  • Verlag: Springer Netherlands
  • Erscheinungstermin: 30.06.1999
  • Sprache(n): Englisch
  • Auflage: 1999
  • Serie: Intelligent Systems, Control and Automation: Science and Engineering
  • Produktform: Gebunden
  • Gewicht: 1190 g
  • Seiten: 236
  • Format (B x H x T): 160 x 241 x 19 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

1 Introduction.- 2 Fundamentals of Neural Networks.- 3 Flexible Neural Networks.- 4 Self-Tuning PID Control.- 5 Self-Tuning Computed Torque Control: Part I.- 6 Self-Tuning Computed Torque Control: Part II.- 7 Development of an Inverse Dynamics Model.- 8 Self-organizing Flexible Neural Network.- 9 Conclusions.