Abstract:Abstract-A continuous robust adaptive control method is designed for a class of uncertain nonlinear systems with unknown constant time-delays in the states. Specifically, a robust adaptive control method and a delay-free gradient-based desired compensation adaptation law (DCAL) are utilized to compensate for unknown time-delays, linearly parameterizable uncertainties, and additive bounded disturbances for a general nonlinear system. Despite these disturbances, a Lyapunov Krasovskii-based analysis is used to co… Show more
“…Let be a positive-definite, locally Lipschitz, regular function defined as (22) where and denote the -th element of the vector and , respectively. The Lyapunov function candidate in (22) satisfies the following inequalities: (23) Based on (4) and (22), the continuous, positive definite, strictly increasing functions in (23) are defined as , . Additionally, let denote a set defined as .…”
Abstract-A saturated controller is developed for a class of uncertain, second-order, nonlinear systems which includes time-varying and nonlinearly parameterized functions with bounded disturbances using a continuous control law with smooth saturation functions. Based on the robust integral of the sign of the error (RISE) control methodology, the developed controller is able to utilize the benefits of high gain control strategies while guaranteeing saturation limits are not surpassed. The bounds on the control are known a priori and can be adjusted by changing the feedback gains. The saturated controller yields asymptotic tracking despite model uncertainty and added disturbances in the dynamics. Experimental results using a two-link robot manipulator demonstrate the performance of the developed controller.
“…Let be a positive-definite, locally Lipschitz, regular function defined as (22) where and denote the -th element of the vector and , respectively. The Lyapunov function candidate in (22) satisfies the following inequalities: (23) Based on (4) and (22), the continuous, positive definite, strictly increasing functions in (23) are defined as , . Additionally, let denote a set defined as .…”
Abstract-A saturated controller is developed for a class of uncertain, second-order, nonlinear systems which includes time-varying and nonlinearly parameterized functions with bounded disturbances using a continuous control law with smooth saturation functions. Based on the robust integral of the sign of the error (RISE) control methodology, the developed controller is able to utilize the benefits of high gain control strategies while guaranteeing saturation limits are not surpassed. The bounds on the control are known a priori and can be adjusted by changing the feedback gains. The saturated controller yields asymptotic tracking despite model uncertainty and added disturbances in the dynamics. Experimental results using a two-link robot manipulator demonstrate the performance of the developed controller.
“…Model parameters were m = 1.16kg, τ = 60/Ω, Ω = 550rpm, k = mω 2 , c = 2mηω, η = 0.1, ω = 83π, k c /k = 0.5, b = 2mm, and f = 0.25mm per revolution [30]. The performance of the proposed technique was evaluated with and without additive noise.…”
Section: B Tracking Controller While Identifying Time Delaysmentioning
Abstract-In this study, online identification of state delays is discussed. First, a novel adaptive time delay identification technique is proposed for general classes of autonomous nonlinear systems subject to state delays. As an extension, this technique is modified to design a tracking controller for general classes of nonlinear systems subject to state delays. The main novelty of this controller is that identification of unknown state delays is ensured while output tracking objective is satisfied. Extensive numerical simulations are presented that demonstrate the efficiency of the time delay identification algorithm and the tracking controller.
“…In [11], Mirkin and Gutman proposed an output feedback model reference adaptive control scheme for a class of MIMO linear dynamic systems with unknown state delay and additive disturbance, and obtained semiglobal asymptotic tracking result. Recently, in [12] (and its preliminary version in [13]), Sharma et al presented a robust adaptive controller for the same class of systems in [6] where the robust integral of the sign of the error term in [14] was utilized in the controller design and obtained semi-global asymptotic tracking.…”
Section: Introductionmentioning
confidence: 99%
“…Review of the relevant literature highlights the fact that most of the proposed controllers for uncertain nonlinear systems with state delay fails to guarantee asymptotic stability result and additionally, almost all of the above papers (see [12] and [15]) considered the input gain matrix to be constant. Motivated by this fact, in this work we propose a continuous robust adaptive controller that can achieve asymptotic stability for a class of uncertain nonlinear systems i) subject to additive bounded input and output disturbances, ii) with a state-dependent input gain matrix, and iii) with an unknown state delay.…”
Section: Introductionmentioning
confidence: 99%
“…However, since the delay value is considered to be unknown, the delay dependent terms with structured uncertainties can not be utilized in the design of the regressor matrix. In [12], Sharma et al dealt with this challenging issue by segregating the appropriate terms when forming the linearly parameterizable function and a delayfree regressor matrix was obtained. Inspired by this, in our work, a similar segregation is utilized to obtain a delay-free regressor matrix.…”
Abstract-In this work, we propose a new robust adaptive controller for a class of multi-input multi-output nonlinear systems subject to uncertain state delay. The proposed method is proven to yield semi-global asymptotic tracking despite the presence of additive input and output disturbances and parametric uncertainty in the system dynamics. An adaptive desired system compensation in conjunction with a continuous nonlinear integral feedback component is utilized in the design of the controller and Lyapunov-based techniques, are used to prove that the tracking error is asymptotically driven to zero. Numerical simulation results are presented to demonstrate the effectiveness of the proposed method.
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