... No. NASA/TM—2007-214842. [15] Guoqiang , C. , 2012 , Study for Real-Time Optimization Control and Hardware Platform Based on Integrated Helicopter/Turboshaft Engine System , Nanjing University of Aeronautics and Astronautics , Nanjing . [16] DeSmidt , H. , Wang , K...

...Youngjin Kim; Tarunraj Singh Point-to-point path planning in an obstacle-free environment, for a kinematic model of a differential-drive wheeled mobile robot with the goal of minimizing input energy is the focus of this work. An optimal control problem is formulated to determine the necessary...

... that the derivation of the dynamical equations can be realized quite elegantly using the group-theoretical description; however, the question of the optimal control is more complex and is difficult to accomplish without addressing particular properties of SE ( 3 ) . The key contribution of this paper...

...T. E. Dabbous In this paper, we consider the optimal control problem for a class of systems governed by nonlinear time-varying partially observed interval differential equations. The control process is assumed to be governed by linear time varying interval differential equation driven...

... of a Reconfigurable Ocean Current Turbine Array Using Bayesian Optimization ,” ASME Paper No. DSCC2017-5230. 10.1115/DSCC2017-5230 [26] Baheri , A. , and Vermillion , C. , 2017, “ Context-Dependent Bayesian Optimization in Real-Time Optimal Control: A Case Study in Airborne Wind Energy Systems ,” NIPS...

... system partial differential equation bounded control optimal control Strict-feedforward systems were studied intensively because they can describe dynamics of many practical plants that are marginally unstable such as Euler–Lagrange systems (usually after several coordinate transformations...

... mode control requires a massive prestudy of the NO x reduction capability of the catalyst in order to set an appropriate control objective for each operating condition. However, this calibration work can be omitted in the optimal control and NH 3 sliding mode control, which mitigates the workload...

... . Manuscript received February 18, 2016; final manuscript received June 24, 2018; published online July 23, 2018. Editor: Joseph Beaman. 18 02 2016 24 06 2018 Adaptive Optimal control A general teleoperation system consists of a slave robot that can reach and interact with its...

... adaptive controller, which ensures a good performance in the novel configuration with internal moving mass. Adaptive Aerospace systems Modeling and simulation Optimal control Dynamic systems Moving mass control technology changes the flight vehicle center of mass relative to the external...

..., 2018. Editor: Joseph Beaman. 17 11 2016 17 05 2018 Adaptive Energy systems Fluid control systems Optimal control Control systems Hydraulic presses, as mainstays in metal forming, are commonly used for forging molding, blanking, punching, and deep drawing...

... . Manuscript received October 9, 2017; final manuscript received April 30, 2018; published online June 4, 2018. Assoc. Editor: Hashem Ashrafiuon. 09 10 2017 30 04 2018 Adaptive Computer control Intelligent control Nonlinear systems Real time control System identification Optimal...

.... The optimum control strategy utilizes two well-known control laws, namely, the linear quadratic Gaussian (LQG) with clipped optimal control and the bang-bang control to find the time histories of voltage to be applied to the MR dampers. The results of the numerical study show that the proposed scheme...

... 2, 2018. Assoc. Editor: Davide Spinello. 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...

... ONTROL . Manuscript received April 23, 2017; final manuscript received March 4, 2018; published online April 30, 2018. Assoc. Editor: Soo Jeon. 23 04 2017 04 03 2018 Adaptive Modeling and simulation Nonlinear systems Uncertain systems Optimal control Dynamic systems Control...

... Adaptive Modeling and simulation Nonlinear systems Optimal control Dynamic systems Control Diabetes mellitus is a group of clinical disorders characterized by chronic high level of arterial BG exceeding 144 mg/dl, called hyperglycemia. It is caused either by the deficiency of insulin...

... received February 6, 2018; published online March 30, 2018. Assoc. Editor: Dumitru I. Caruntu. 09 06 2017 06 02 2018 Adaptive Nonlinear systems Transportation Uncertain systems Optimal control Control Robust control Bio-medical systems Neuromuscular electrical...

... forms of optimal controls are derived through application of Pontryagin's minimum principle. We apply our results for the single agent to solve a multi-agent coverage problem in which each agent has constraints on speed, lateral acceleration, and turning rate. A popular model with which to study...

... ,” Int. J. Adv. Mechatronic Syst. , 6 ( 6 ), pp. 289 – 302 . 10.1504/IJAMECHS.2015.074788 [4] Burl , J. B. , 1998 , “ Linear Optimal Control: H (2) and H (Infinity) Methods ,” Addison-Wesley Longman Publishing , Boston, MA. [5] Sherback , M. , Purwin , O. , and D'Andrea , R...

... 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...

... ] ) where h i ′ is an integer Heaviside-like function defined as (25) h i ′ = { 1 i − 1 ≤ τ ≤ i 0 else Adaptive Robotics Optimal control In many industries, robots are increasingly being used in repetitive tasks...