... 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...

... , η 0 = sup | | ( f − f ( x , W * ) ) | | . Here, the adaptive control law and the Lyapunov stability were designed based on Ref. [ 45 ]. The proposed controller is expressed as follows: (16) τ = τ 0 + τ f adaptive control...

...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...

...; published online January 18, 2016. Assoc. Editor: Srinivasa M. Salapaka. 27 11 2013 09 12 2015 vibration control adaptive control strain gradient boundary stabilization partial differential equation Discretization methods like Galerkin projection method have been used...

... for publication in the J OURNAL OF D YNAMIC S YSTEMS , M EASUREMENT, AND C ONTROL . Manuscript received July 20, 2012; final manuscript received August 9, 2014; published online December 10, 2014. Assoc. Editor: May-Win L. Thein. adaptive fuzzy control adaptive control approximation error...

... 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...

.... adaptive control neural networks flexible link manipulator output Since Q 1 and Q 2 are symmetric positive-definite matrices, Q is also a symmetric positive-definite matrix. Substituting β = w ˜ T ( σ - σ · V T ζ...

... 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...

... … is the iteration number. By the way, the adaptive control is not applicable in this circumstance due to the finite interval tracking and the time-varying parameter. In simulation, the initial state value x k ( 0 ) is randomly varying in the interval ( 0 , 1 ] when the iteration k...

... 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...

... 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...

... 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...

... strategy simultaneously reduced the tailpipe NO x emissions by 57% and the ammonia slip by 74% in comparison to those from a conventional controller. 15 04 2010 14 09 2011 05 12 2011 05 12 2011 adaptive control air pollution control ammonia chemical sensors control system...

... 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. adaptive control learning (artificial intelligence) machine control neurocontrollers nonlinear control systems PI control position control radial basis function networks robust control servomotors state feedback variable structure...

... δ ¯ ɛ + s β 3 Let S k : = [ σ x ¯ k y ¯ k ] T and let S * : = σ λ ¯ . adaptive control electrohydraulic control equipment feedforward inverse problems position control pressure control valves...