... nonlinear, closed-loop control methodology shown on a small-scale prototype boat. The control methodology, L1 adaptive control (L1AC), provides adaptive velocity and angular velocity control. The control system delivers performance levels that could reduce the cost of commissioning boats with joystick...

... suffers from various problems such as dynamic uncertainties, external disturbances, and human–robot interaction. In this paper, we propose a robust adaptive control approach of an exoskeleton robot with an unknown dynamic model and external disturbances. First, the dynamics of the exoskeleton's arm...

...: Mohammad A. Ayoubi. 25 11 2018 07 05 2019 adaptive control fruit fly optimization algorithm humanoid arm radial basis function network As the robots that are designed for social and interactive tasks [ 1 ], humanoids have attracted wide interests in the past several decades...

...Ruiyun Qi; Weiwei Su; Yizhen Meng For deep space probe subject to uncertain time-varying inertia matrix, unknown external disturbances, actuator faults, and misalignment, a fault-tolerant attitude controller is designed in this paper, which is based on adaptive control and fast terminal sliding...

... vibration control adaptive control strain gradient boundary stabilization partial differential equation Nowadays, microscale structures such as microbeams, microplates, microbars, etc., are widely used in micro- and nano-electromechanical systems (MEMS and NEMS). Microscale beams play...

... [12] Fei , J. , and Zhou , J. , 2012 , “ Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator ,” IEEE Trans. Syst. Man Cybern. Part B, 42 ( 6 ), pp. 1599 – 1607 . 10.1109/TSMCB.2012.2196039 [13] Wai , R. , 2007 , “ Fuzzy Sliding-Mode Control Using...

... insight into system properties that will be considered in future investigation. Furthermore, a discrete adaptive control law with low computational cost is required for the application on hand. The designed self-tuning regulator and the estimation algorithm were validated in numerical simulations as well...

... identification time-varying systems adaptive control basis functions ARMAX systems Many systems exhibit nonstationary behaviors due to inherent time-varying characteristics of their internal components. Although, some of these systems can sufficiently be described with stationary models over short...

... online February 19, 2014. Assoc. Editor: Won-jong Kim. 22 11 2012 03 12 2013 This paper studies design and evaluation of a multivariable model reference adaptive control (MRAC) scheme for aircraft systems under simultaneous actuator failures and structural damage. A key design...

... are analytically shown using Lyapunov's method. adaptive control neural networks flexible link manipulator output Output feedback control of nonlinear minimum-phase systems have been studied in recent years and various methods have been proposed in this area [ 1–5 ]. Actually the minimum phase...

... coordination algorithms for multiagent systems build on techniques from adaptive control. Each agent is driven by swarming and gradient ascent efforts based on its own recursively estimated field via locally collected measurements by itself and its neighboring agents. The convergence properties of the proposed...

...Xia Liu; Mahdi Tavakoli Existing work concerning adaptive control of uncertain teleoperation systems only deals with linearly parameterized (LP) dynamic uncertainties. Typical teleoperation system dynamics, however, also posses terms with nonlinearly parameterized (NLP) structures. An example...

... using other control methods, such as PID, adaptive control and so on. Remark 3: Note that when we substitute α k - 1 ( t ) = 1 + ξ 2 ( x k ( t ) , t ) into Eq. 4 , it does not affect the causality of the updating algorithm 4 since x k...

... estimation algorithm in the framework of adaptive control. It applies to a large class of nonlinear, time-varying processes with unknown dynamics. The solution is deceivingly simple and easy to implement. The results of analysis are further verified through simulation and hardware tests. 09 09 2010...

... is improved. An composite adaptive law is used to gain fast and accurate parameter estimation. Finally, simulation results are presented to illustrate the effectiveness of the proposed method. 03 05 2011 28 09 2011 03 01 2012 03 01 2012 adaptive control control system synthesis...

... of the parameter identification results and the modified dual-observer, this paper designs an adaptive control algorithm with dynamic friction compensation for hydraulic servo system. The comparative experiments indicate that the proposed parameter identification technique and the adaptive control algorithm...

... , M. , Kanellakopoulos , I. , and Kokotovic , P. V. , 1995 , Nonlinear and Adaptive Control Design , Wiley and Sons , New York . Table 1 Quantitative comparisons of tailpipe emissions and ammonia consumptions of the two control approaches 155–600 s NO x Bef. SCRs NO x...

... versions of feedback linearizing controllers have been used to compensate for the external loads disturbances in the control of EHSS. However, real-time implementations issues limit the use of these techniques. While adaptive control using a feedback-linearization based controller structure has been shown...

... 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...

... International Conference on Neural Networks—Conference Proceedings , Vol. 5 , pp. 2513 – 2518 . 10.1109/ICNN.1995.487757 15 Pham , D. T. , and Oh , S. J. , 1993 , “ Adaptive Control of Dynamic Systems Using Neural Networks ,” International Conference on Systems, Man and Cybernetics, Systems...