By Jitendra R. Raol, Ajith K. Gopal
''Written for platforms, mechanical, aero, electric, civil, business, and robotics engineers, this ebook covers robotics from a theoretical and structures perspective, with an emphasis at the sensor modeling and knowledge research features. With the unconventional infusion of NN-FL-GA paradigms for MIAS, this reference blends modeling, sensors, keep an eye on, estimation, optimization, sign processing, and heuristic equipment in MIAS/robotics, and contains examples and functions all through. The association of the publication relies on basic innovations, with sections protecting basic ideas, equipment and methods, block/flow diagrams, and numerical examples. A MATLAB-based strategy is used via chosen case experiences within the text''-- Read more...
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Extra info for Mobile Intelligent Autonomous Systems
2). These neuronal elements are interconnected by links, which are represented by the so-called neuron (neuronal) weights (can be called coefficients also), and they cooperate to perform parallel distributed computations in order to carry out a desired task, the main difference lying in the numerical values of their weights. ANNs have only some resemblance to real NNs, although closer the similarity, the more complex would be the ANN as well more accurate in its representation of the biological computing power and ability in learning and adaptation.
Of Comp. Engg. and Comp. , California State University, Long Beach, Presented at Robotics 101 Webinar, April 2009. com/ content/ docs/DOC-4655. LA, USA. January 2011. 2. Raol, J. R. Multisensor Data Fusion with MATLAB. CRC Press, FL, USA, 2009. 3. Raol, J. , Girija, G. and Singh, J. Modelling and Parameter Estimation for Dynamic Systems, IEE/IET Control Series Vol. 65, IEE/IET, London, UK, 2004. 4. Raol, J. R. and Singh, J. Flight Mechanics Modeling and Analysis. CRC Press, FL, USA, 2008. Part I Conceptual Foundations for MIAS 1 Neuro-Fuzzy–GA–AI Paradigms Jitendra R.
For example, IF temp is too cool AND time is elapsed THEN cool fast. FL is used for imprecise but descriptive situations. FL-based theory can mimic human logic, for example, control strategy, the way a human expert would react to a changing situation and to control it. FL-based designs are or can be made robust, require little tuning, and can model non-linear processes and systems. The FL is used when these systems are generally very difficult to mathematically model, or when the model is very imprecise [1,3,5].