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arana daniel n neural networks robotics engineering 2009

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Textbook in PDF format Contents: Preface Abbreviations Introduction Recurrent High Order Neural Networks, RHONN Experimental Results: Identi cation of Costs Maps Using RHONNs Conclusions Object Recognition and Geometric Representations of Objects Geometric Algebra: An Overview Clifford SVM Conformal Neuron and Hyper-Conformal Neuron Conclusions Introduction Neural Identification Inverse Optimal Neural Control IONC for Non-Holonomic Mobile Robots Conclusions Introduction Simultaneous Localization and Mapping Reinforcement Learning Inverse Optimal Neural Controller Experimental Results Conclusions Introduction Optimal Control Inverse Optimal Control Holonomic Robot Visual Feedback Simulation Conclusions Introduction Quadrotor Dynamic Modeling Hexarotor Dynamic Modeling Neural Network-Based PID Visual Servo Control Simulation Results Experimental Results Conclusions Biblio Index

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Arana-Daniel N. Neural Networks for Robotics. An Engineering Perspective 2009.pdf 6.3 MB

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arana daniel n neural networks robotics engineering 2009