... EASUREMENT, AND C ONTROL . Manuscript received July 18, 2017; final manuscript received July 26, 2018; published online September 10, 2018. Assoc. Editor: Ming Xin. 18 07 2017 26 07 2018 Adaptive Optimal control Nitrogen oxides (NO x ) are harmful air pollutants formed during...

...Xia Liu; Mahdi Tavakoli Dead-zone is one of the most common hard nonlinearities ubiquitous in master–slave teleoperation systems, particularly in the slave robot joints. However, adaptive control techniques applied in teleoperation systems usually deal with dynamic uncertainty but ignore...

... with the coupling caused by the additional inertia moment, which is generated by the motion of the moving mass, the extended state observer (ESO) is designed. The proposed adaptive controller is simulated and tested on the experimental setup. Finally, the simulation results validate the quality of the proposed...

... and Demanded Power in Hydraulic Press ,” J. Cleaner Prod. , 139 , pp. 636 – 645 . 10.1016/j.jclepro.2016.08.063 [3] Lu , L. , and Yao , B. , 2014 , “ Energy-Saving Adaptive Robust Control of a Hydraulic Manipulator Using Five Cartridge Valves With an Accumulator ,” IEEE Trans. Ind. Electron...

...Chidentree Treesatayapun An adaptive discrete-time controller is developed for a class of practical plants when the mathematical model is unknown and the sampling time is nonconstant or unfixed. The data-driven model is established by the set of plant's input–output data under the pseudo-partial...

... May 28, 2018. Assoc. Editor: Dumitru I. Caruntu. 05 09 2017 02 05 2018 Adaptive Intelligent control Sensors and actuators Vibration control Optimal control Significant advances have taken place in the area of structural control in the last three decades. As a result...

.... 09 07 2017 16 03 2018 Adaptive Modeling and simulation Nonlinear systems Uncertain systems Vibration control Optimal control Dynamic systems Control Robust control The flexible dynamics of cranes are critical issue because a suspended payload can exhibit excessive swing...

... input saturation in the mirror-stabilized platform, a modified adaptive robust control (ARC) scheme is proposed based on the command filtered method and the extended state observer (ESO). The command-filtered approach is used to ensure the stability and tracking performance of the adaptive control...

... Adaptive Modeling and simulation Nonlinear systems Optimal control Dynamic systems Control The fast lifestyle patterns of the patients and day-to-day advancement in medical instrumentation have forced the scientists and engineers to develop automated drug delivery systems in most long-term...

...Ruzhou Yang; Marcio de Queiroz In this paper, we introduce two robust adaptive controllers for the human shank motion tracking problem that is inherent in neuromuscular electrical stimulation (NMES) systems. The control laws adaptively compensate for the unknown parameters that appear nonlinearly...

... of a simple-structure learning based adaptive optimal scheme that tracks the desired path, optimizes the energy consumption, and solves the uncertainty problem in omni-directional wheeled robots. 1 Present address: Young Researchers and Elite Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran...

... EASUREMENT, AND C ONTROL . Manuscript received November 14, 2016; final manuscript received January 25, 2018; published online March 28, 2018. Editor: Joseph Beaman. 14 11 2016 25 01 2018 Adaptive Motion controls Robotics Optimal control Minimum-time problems have long been...

... 11, 2017; final manuscript received January 13, 2018; published online March 13, 2018. Assoc. Editor: Dumitru I. Caruntu. 11 02 2017 13 01 2018 Adaptive Vibration control Optimal control Long span cable supported bridges are very flexible and possess low damping...

... bounds of external disturbances and that the upper and lower bounds of unknown time-varying virtual control coefficients are unknown. By employing a simple structure neural network (NN), the unknown structure uncertainties are approximated. A class of backstepping approach-based adaptive robust...

... December 13, 2017; published online March 7, 2018. Assoc. Editor: Yunjun Xu. 18 01 2017 13 12 2017 Adaptive Robotics Optimal control In many industries, robots are increasingly being used in repetitive tasks. They should be properly programmed to do many monotonous motions...

.... G. , 2012 , “ Predictive Contour Control With Adaptive Feed Rate ,” IEEE/ASME Trans. Mechatronics , 17 ( 4 ), pp. 669 – 679 . 10.1109/TMECH.2011.2119324 [6] Erkorkmaz , K. , and Altintas , Y. , 2001 , “ High Speed CNC System Design—Part I: Jerk Limited Trajectory Generation...

... 16, 2017; published online December 22, 2017. Assoc. Editor: Yunjun Xu. 20 08 2017 16 11 2017 Adaptive Control theory Optimal control The full- and reduced-order linear observers are often used in mechanical engineering, see for example recent papers [ 1 , 2 ]. In Ref...

...) framework with a real-time adaptive approach is presented to achieve the aforementioned goal. First, the formulation of a convex optimal control problem is introduced, with linear dynamics and convex constraints that can be solved globally. Then, an adaptive approach is proposed to reject the effects...

... ]. Adaptive Energy systems Modeling and simulation Production systems Optimal control Control systems Dynamic systems 16 12 2016 20 09 2017 Contributed by the Dynamic Systems Division of ASME for publication in the J OURNAL OF D YNAMIC S YSTEMS , M EASUREMENT, AND C ONTROL...

... a control approach which significantly reduces the phase faults effects on the speed of the motor. Furthermore, the high-frequency noise is attenuated when compared to the classical proportional–integral (PI) controller, commonly applied to control such sort of motors. The proposed SRM-adaptive feedforward...