...% load (225 kW) Fig. 15 Comparison of sliding mode control and optimal control strategies under transient state engine operating condition Adaptive Optimal control Nitrogen oxides (NO x ) are harmful air pollutants formed during the combustion process of diesel engines...

...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 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...

...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...

... for publication in the J OURNAL OF D YNAMIC S YSTEMS , M EASUREMENT, AND C ONTROL . Manuscript received July 9, 2017; final manuscript received March 16, 2018; published online May 2, 2018. Assoc. Editor: Davide Spinello. 09 07 2017 16 03 2018 Adaptive Modeling and simulation Nonlinear...

... 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...

... solution for a single agent is an important building block for the design and analysis of multi-agent systems, such as the evasion of a group from a pursuer [ 2 ]. Adaptive Motion controls Robotics Optimal control 14 11 2016 25 01 2018 Contributed by the Dynamic Systems...

..., 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, and hence...

.... , 2017 , “ Inertia Forces and Moments Balancing in Robot Manipulators: A Review ,” Adv. Rob. , 31 ( 14 ), pp. 717 – 726 . 10.1080/01691864.2017.1348984 [14] Moradi , M. , Nikoobin , A. , and Azadi , S. , 2010 , “ Adaptive Decoupling for Open Chain Planar Robots ,” Sci. Iran. Trans...

... 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...

... based on the actual specification of 20 nm. Fig. 7 Simulated and measured contour error, axial velocities, and feed rate with conservative δ θ max (case 1). Solid thick lines: simulation results, solid thin lines: experimental results, dash lines: constraints. Adaptive...

... 16, 2017; published online December 22, 2017. Assoc. Editor: Yunjun Xu. 20 08 2017 16 11 2017 Adaptive Control theory Optimal control where (A3) P ¯ ( t ) = M − T P ( t ) M − 1   ⇒   P ( t ) = M T P ¯ ( t ) M...

... OURNAL OF D YNAMIC S YSTEMS , M EASUREMENT, AND C ONTROL . Manuscript received December 16, 2016; final manuscript received September 20, 2017; published online December 19, 2017. Assoc. Editor: Ming Xin. 16 12 2016 20 09 2017 Adaptive Energy systems Modeling and simulation...

...) 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...

... 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...