... of a process. This data can be obtained from both open-loop and closed-loop tests. Numerical simulation results are presented to verify the robustness of these proposed methods in the presence of the measurement noise. fractional order model step response parameter estimation order estimation noisy...

... 22 09 2011 03 01 2012 03 01 2012 adaptive control control system synthesis convergence error analysis industrial control industrial plants nonlinear systems observers parameter estimation time-varying systems extended state observer uncertain systems stability...

... 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...

... with modified dual-observer are effective with high tracking performance. 03 10 2010 15 06 2011 06 12 2011 06 12 2011 adaptive control compensation control system synthesis evolutionary computation friction hydraulic control equipment parameter estimation servomechanisms...

... machine parameter estimation adaptive particle swarm optimization genetic algorithm Brushless diesel generators normally consist of a salient pole alternator, exciter machine, automatic voltage regulator (AVR) and a diesel engine prime mover [( 1 )]. The exciter machine itself is an inverse...

... damping hydraulic systems least squares approximations parameter estimation pistons valves automotive control electrohydraulic valves system identification parameter estimation least-squares Hydraulic actuators are used throughout industry in a wide number of applications...

... the numerical approach, when the parameter identification procedure has been finished. 02 02 2010 21 03 2011 19 07 2011 19 07 2011 manipulators mechanical engineering nonlinear systems numerical analysis parameter estimation parametric model identifiability parameter...

... design engineering Kalman filters mechanical contact parameter estimation suspensions (mechanical components) tyres vehicle dynamics Mathematical models simulating the handling behavior of passenger cars are extensively used at a design stage for evaluating the effects of new structural...

...Kourosh Danai; James R. McCusker 07 06 2010 12 07 2010 23 11 2010 23 11 2010 parameter estimation Equation 8 should be 8 ϵ N ( u ( t ) , Θ ∗ , Θ ¯ ) ≈ Φ Δ Θ + ν Equation 29 should be 29 Δ Θ ˆ = ( Φ T Φ...

... uncertain parameters cannot be measured accurately, especially in real time applications. Information about them is obtained via parameter estimation techniques. Parameter estimation for large systems is a difficult problem, and the solution approaches are computationally expensive. This paper proposes...

... for the purpose of controller design for the sheet metal forming process is presented and the parameter estimation for this model is accomplished using system identification methods. This paper is based on original experiments performed with a new variable blank holder force (or variable binder force) system...

... a Diesel engine test cell and a truck. 12 06 2008 12 03 2009 17 12 2009 17 12 2009 diesel engines fault diagnosis flow simulation least squares approximations orifices (mechanical) parameter estimation recursive estimation valves Modern engine on-board diagnostics...

... of a periodically poled lithium niobate sample. In this regard, a new parameter estimation strategy is developed for modal identification of system parameters under general frequency response. Results indicate good agreements between the identified model and the experimental data using the proposed modeling...

... parameter estimation in this paper. The proposed parameter signature isolation method (PARSIM) that uses the parameter error estimates for parameter estimation is shown to have an estimation precision comparable to that of the Gauss–Newton method. The transparency afforded by the parameter signatures...

...Saeid Habibi A method that is often used for parameter estimation is the extended Kalman filter (EKF). EKF is a model-based strategy that implicitly considers the effect of modeling uncertainties. This implicit consideration often leads to the tuning of the filter by trial and error. When...

... ̂ is the error in a parameter estimate, Θ ̂ is an estimate of parameters, and Γ is a positive definite adaptive gain matrix. Then, 36 V ̇ 2 = 2 ξ ̃ T W − 1 ξ ̃ ̇ + 2 Θ ̃ T Γ − 1 Θ ̃ ̇ 37 V ̇ 2 = V ̇ 1 − 2 ξ...

... thermocouples. In particular, a continuous-time approach is proposed, combined with a cross-relation blind deconvolution for parameter estimation. A feature of this approach is that no a priori assumption is made about the time constant ratio of the two thermocouples. The advantages, including small estimation...

...S. R. Habibi; R. Burton Parameter estimation is an important concept that can be used for health and condition monitoring. Estimation or measurement of physically meaningful parameters and their evaluation against predetermined thresholds allows detection of gradual or abrupt deteriorations...

.... A condition for resetting of the parameter estimate at the beginning of each interval is derived; the condition guarantees that the estimate of the time-varying parameter is continuous and also allows for the coefficients of the polynomial to be different in various time intervals. A modified version...

..., the system identification is proved to be effective and practical. Helicopter Dynamics System Identification Data Processing Perceptron helicopters vehicle dynamics parameter estimation perceptrons aircraft control aerodynamics motion control control systems micromechanical devices...