.... The performance on both applications is validated experimentally. 21 01 2011 19 09 2011 30 12 2011 30 12 2011 friction motion control neurocontrollers nonlinear systems pistons pneumatic control equipment pneumatic systems servomechanisms servopneumatic systems modeling...

... completely by using the DSMC with a small switching gain. Consider the following assumptions, which are widely used [( 24 25 26 )]: 09 12 2009 13 03 2011 11 11 2011 11 11 2011 adaptive control learning (artificial intelligence) machine control neurocontrollers nonlinear...

... ). 19 02 2009 24 11 2009 16 08 2010 16 08 2010 feedback hydraulic systems neurocontrollers pumps robust control torque control neural network controller contact task control passivity based control high capacity hydraulic pump test frequency changing High...

... direction needs to be maintained in high-speed AFM-imaging. atomic force microscopy electric current control feedforward learning (artificial intelligence) neurocontrollers position control 18 06 2008 27 04 2009 06 11 2009 06 11 2009 2009 American Society...

... neurocontrollers position control pressure control pressure sensors principal component analysis 08 01 2008 01 04 2009 17 08 2009 The correlation of the predicted PPP and actual PPP over 1000 cycles of hold-out data can be seen in Fig. 7 . To quantify the accuracy of the NN predictions...

... feedback variable-structure control neural networks flexible manipulators Lyapunov methods neurocontrollers observers state feedback variable structure systems 08 03 2007 18 02 2009 29 04 2009 2009 American Society of Mechanical Engineers ...

... loop systems convex programming delays linear matrix inequalities neurocontrollers nonlinear control systems variable structure systems 07 07 2005 20 05 2008 10 10 2008 The objective is to design a SMC law such that the state trajectories are driven onto the specified...

... the implementation of the proposed control scheme in real time. 10 01 2005 12 02 2007 neurocontrollers internal combustion engines predictive control nonlinear control systems linearisation techniques neural networks predictive control nonlinear control engine control real-time...

... output tracking performance. linear motors motor drives feedback neurocontrollers adaptive control robust control nonlinear control systems control nonlinearities observers control system synthesis machine control neural network adaptive control robust control nonlinear systems...

... , Prentice-Hall , Englewood Cliffs, NJ . 19 01 2005 05 12 2005 position control manipulator dynamics redundant manipulators mobile robots stability adaptive control path planning fuzzy neural nets neurocontrollers end effectors control system synthesis fuzzy control...

... control Lyapunov methods asymptotic stability fuzzy control interconnected systems linear systems neurocontrollers numerical analysis A number of large-scale systems (also called interconnected systems or composite systems) founded in the real world are composed of a set of small...

... and kept within these bounds. Some computer simulations of using the controller to control the Hénon map have been performed to demonstrate the performance of the proposed controller. 01 04 2003 24 05 2005 chaos variable structure systems adaptive control neurocontrollers fuzzy...

... knowledge of the plant, especially when we see that the knowledge of friction term has been used in “black box” fast control law (given in ( 10 )) while it was not used in the gray-box counterpart. 27 10 2003 27 04 2005 neurocontrollers adaptive control singularly perturbed systems...

... transmission (mechanical) control system synthesis neurocontrollers automotive components friction polynomials design engineering pressure torque Friction Component Powertrain Simulation Automatic Transmission Dynamic Modeling Hybrid Neural Network Analytical Calibration...

... linear and nonlinear conventional controllers in the presence of unmodeled dynamics and parameter variations. 13 06 2002 09 08 2004 neurocontrollers nonlinear control systems flexible manipulators open loop systems control nonlinearities stability control system synthesis...

... such that the singularity problem of the controller usually encountered in feedback linearization design is avoided. A numerical simulation illustrating the H ∞ control performance of the closed-loop system is provided. 27 03 2003 24 06 2004 adaptive control control system synthesis neurocontrollers...

... (Petek et al. 4 ), engine mounts (Morishita and Mitsui 5 ), clutch/brake systems (Choi et al. 6 ), and intelligent structures (Choi et al. 7 ). materials handling hydraulic systems electrorheology valves electrohydraulic control equipment neurocontrollers time-domain analysis 01...

... SOCIETY OF MECHANICAL ENGINEERS . Manuscript received by the Dynamics Systems and Control Division July 3, 2000. Associate Editor: S. Sivashankar. 03 July 2000 vehicles vibration isolation neurocontrollers feedback linearisation techniques control nonlinearities time-varying systems...

... OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL . Manuscript received by the Dynamic Systems and Control Division February 11, 2000. Associate Technical Editors: E. Misawa and V. Utkin. 11 February 2000 variable structure systems robust control neurocontrollers robots learning systems...

..., Associate Technical Editor: E. Misawa. 25 May 1999 internal combustion engines neurocontrollers discrete systems adaptive control variable structure systems nonlinear control systems velocity control control system synthesis feedforward neural nets multilayer perceptrons function...