Robotics Automation and Control 2011 Part 11 docx

... dependence) are partially suppressed after the processing. Robotics, Automation and Control 304 6. Conclusions and future work This work has integrated the control science and the robot ... identified. Fig. 2 shows the speed response Robotics, Automation and Control 294 3. Model Predictive Control 3.1 Introduction The MPC (model predictive control) MPC ha...

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... configuration. Robotics, Automation and Control 288 Spong M.W., Vidyasagar M. Robot dynamics and control. John Wiley, New York 1989 Yoerger, D.; Slotine, J. Robust trajectory control of underwater ... pp 19-27 ,111 - 122, Cambrige University Press Thor I. Fossen. Guidance and Control of Ocean Vehicles. John Wiley and Sons, Chichester 1994 I. Schjølberg, T. I. Fossen...

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... i l tt l i tt x u uxQ sign K uxQ α ⋅ ⎟ ⎠ ⎞ ⎜ ⎝ ⎛ ∂ ∂ = ∂ ∂ ++++ ),(),( 111 1 with ;1 0 = x (36) 70 7050 50 0 PVS PS 1 Inferior Limit Superior Limit Inferior Limit Superior Limit Robotics, Automation and Control 364 (,) (,) (,) 11 j iiii qSu ... figure the optimal controlable factors for each fuzzy rule and thus the FPID controller can’t accomplish the given ta...

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... no. 120101001 Robotics, Automation and Control, Edited by Pavla Pecherková, Miroslav Flídr and Jindřich Duník p. cm. ISBN 978-953-7619-18-3 1. Robotics, Automation and Control, Pavla Pecherková, ... and the proper air/fuel mixture demanded by its speed and load. Multi-Domain Modelling and Control in Mechatronics: the Case of Common Rail Injection Systems 19...

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... Robotics, Automation and Control 100 Fig. 11. Tracking error in z and ψ for both Fig. 12. Inputs u 1 and u 2 for both approachs approachs 1 and 2 of ADRC control. 1 and 2 of ADRC control. ... (Benaskeur et al., 2000). The main idea is to Robotics, Automation and Control 98 where t a = 130s and t b = 20π + 130s, (82) and t c = 120 s and t d...

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... rate 40,000 Hz, and a bandpass filter with a triangular shape. The feature vector was of 7 dimensions (1 energy coefficient and 6 MFCC coefficients). Robotics, Automation and Control 158 ... given and used without proper control, the agent can hardly find the optimal policy. On the other hand, with the proposed control mechanism enabled, the wrong subgoal is properly...

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... filters bank. Robotics, Automation and Control 176 3.2 Effect of controlled use of subgoals Now let us turn our attention to how the control of use of subgoals by coefficients c i and d i ... time-frequency domain and the dyadic wavelet transform: For j 2a = and j 2kb = (j and k are integers, the wavelets ) a -t ψ( a 1 τ become: Robotics, Automation and C...

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... Q-Learning is then a particular case of Q (λ) when λ=0. ( ) ( ) ( ) ( ) { } () ,, ,. 111 Qs u Qsu r V s Qsu e s tt tt t ttt tt βγ =++ − +++ (6) Robotics, Automation and Control 220 Fig. ... MOPs has been addressed by Robotics, Automation and Control 230 3. Fuzzy Q-learning algorithm In mobile robotics, input and output variables given by the sensors and...

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... Robotics, Automation and Control 346 Indicator name and Subindicator name Numeric/qualitative range and SAF numeric value Status of the devices 4 Uniform icons and symbols ... addition, there is a hug number of automation and control problems (automated watering, temperature controls for water and indoor areas, lightning systems, ozone controlled system for wate...

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... the use of particle filtering. Robotics, Automation and Control 424 observation. Conversely, the trajectories update given by odometry and observation spreads the particles on partition ... Improved Real-Time Particle Filter for Robot Localization 419 of efficient life cycle of samples and control data, which is different between RTPF and standard particle filter,...

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