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Towards understanding architectural tradeoffs in MEMS closed-loop feedback control
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Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
Feature Depth Observation for Image-based Visual Servoing: Theory and Experiments
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Perturbation analysis with qualitative models
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A Probabilistic Contour Observer for Online Visual Tracking
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Dynamics solution of n-DOF global machinery model
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Dynamical movement primitives: Learning attractor models for motor behaviors
Neural Computation
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From the Publisher:One thesis of this book is that state-space methods can be presented in a style that can be grasped by the engineer who is more interested in using the results than in proving them. Another thesis is that results are useful. The book is addressed not only to students but also to a general audience of engineers and scientists who are interested in becoming familiar with state-space methods either for direct application to control system design or as a background for reading the periodical literature. The author has tried to keep the chapters reasonably independent and to use customary symbols wherever practical. He has also selected fifteen or so examples and weaved them into the fabric of the text and the homework problems.