... of NO x emission regulation was adopted in 1997 while Tier II and Tier III standards were introduced by Annex VI amendments in 2008. Adaptive Optimal control 18 07 2017 26 07 2018 Contributed by the Dynamic Systems Division of ASME for publication in the J OURNAL OF D...

...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...

..., AND C ONTROL . Manuscript received November 17, 2016; final manuscript received May 17, 2018; published online June 18, 2018. Editor: Joseph Beaman. 17 11 2016 17 05 2018 Adaptive Energy systems Fluid control systems Optimal control Control systems Hydraulic presses...

... 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...

...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...

... 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 that could result...

... 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. References [1] Kim , H. , and Kim , B. K. , 2014 , “ Online Minimum-Energy Trajectory Planning...

... Division of ASME for publication in the J OURNAL OF D YNAMIC S YSTEMS , M 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...

... 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...

... 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...

... 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...

... YSTEMS , M EASUREMENT, AND C ONTROL . Manuscript received March 6, 2017; final manuscript received November 17, 2017; published online January 16, 2018. Assoc. Editor: Soo Jeon. 06 03 2017 17 11 2017 Adaptive Manufacturing technology Motion controls Real time control Optimal...

... 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...

... control (RLC) being unified due to the use of the direct parametrization and adaptive bounding techniques. To effectively handle fractional uncertainties, the estimation method for such uncertainties is elaborated to facilitate the controller design and convergence analysis. Its novelty lies in the less...

...) 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...

...: Ming Xin. 16 12 2016 20 09 2017 Adaptive Energy systems Modeling and simulation Production systems Optimal control Control systems Dynamic systems The existing algorithms dealing with sucker rod pumping systems of vertical oil wells are mainly diagnostic...