minimum variance control
New Results in Generalized Minimum Variance Control of Computer Networks
... modern control theory, minimum variance control algorithms and to confront the new approach with the mechanisms outlined ...adaptive minimum variance control and adaptive ...
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ON A PARAMETER ADAPTIVE SELF-ORGANIZING SYSTEM WITH THE MINIMUM VARIANCE CONTROL LAW IN THE PRESENCE OF LARGE OUTLIERS IN OBSERVATIONS
... a minimum variance control (MVC) approach for a closed- loop discrete-time linear time-invariant (LTI) system when the parameters of a dynamic system as well as that of a controller are not known and ...
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Robust nonlinear generalised minimum variance control and fault monitoring
... Not only does replacing the Kalman filter with the ob- server improve the control (or set-point tracking) perfor- mance, it also enables fault monitoring. The second ob- server design allows the residual that is ...
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Restricted structure non-linear generalized minimum variance control of a 2-link robot arm
... algorithm basically uses the same type of system with that of the NGMV but restricted to the structure of either a general z- transfer function or a PID. The cost function to be minimized also remains the same. The task ...
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State-space approach to nonlinear predictive generalized minimum variance control
... PGMV Optimal Controller Consider the linear components of the plant, disturbance and output weighting models in state space form 2, 3 with input from the nonlinear finite gain stable pla[r] ...
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Polynomial approach to nonlinear predictive generalized minimum variance control
... = -.Tc:k,N pc., Rl+k,N - Ft,N - I xNw ,Ut .• 66 lk,:\ Remarks: The NPGMV control law in equation 65 is model based and includes an internal model for the nonlinear process, The control[r] ...
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Kalman Filter Based Controlled Online System Identification | Journal of Engineering Sciences
... The system identification is an important part of the control structure. It is necessary to have a good prediction of the dissolved oxygen concentration of the next meas- urement as this is used by the ...
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A Comparison of the Control Schemes of Human Response to a Dynamic Virtual 3D Face
... predictor-based control schemes with a minimum variance or a generalized minimum variance control quality, constrained control signal magnitude and changing rate are ...
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Design of generalized minimum variance controllers for nonlinear multivariable systems
... Generalized Minimum Variance control laws for nonlinear multivariable systems that can include severe nonlinearities is ...nonlinear control signal costing ...the control law are ...
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Modelling And Control Design Of Quadruple Conical Tank Process With Minimum And Non Minimum Phase Behaviour
... Multivariable control system is of great demand in the process ...actuating control input and more than one sensor output are considered as Output (MIMO) ...both minimum and non minimum phase ...
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Model of process control system applied to product quality
... Problems connected with feedback (closed-loop) stability, controller limitations and dead-time compensation to obtain minimum variance (mean square) control at the output are[r] ...
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About an Unbiased Estimate of the Gradient with Minimum Variance in the Planning of the Experiment
... Thus, the existence of the unbiased estimate of the gradient with minimum variance occurs not always, as far as the variance for these estimates should be minimal uniformly in the parameter. The ...
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Non-linear minimum variance estimation for fault detection systems
... In the literature faults can be assume to take place in different parts of a system, and are classified as actuator faults or sensor faults [2]. Actuator faults can represent partial or complete loss of control ...
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Regularized minimum class variance extreme learning machine for language recognition
... under certain conditions; however, there will be a seri- ous problem when the samples are distributed as shown in Fig. 3. From Fig. 3a–d, the mean of each Gaussian is changed gradually along the x2-axis. Here we denote ...
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Design efficiencies with planned and unplanned unbalance for the estimation of heritability in forestry
... Designs are compared based on the variance of heritability (var{h2), calculated according to the Minimum Variance Quadratic Unbiased Esti- mates of the variance components for a given se[r] ...
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Robust Self Tuning Regulator of Time Varying Linear Systems with Bounded External Disturbances
... been treated and detailed, consists to research an adequate mathematical model for any system by experimental data and available knowledge (see [9], [17] and [20]). The gotten mathematical model can be used, in the aim, ...
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Methods of variance component estimation
... We describe methods of variance component esti- mation for the simplest case, the one-way ANOVA, and demonstrate most of them by some data sets. For this purpose we assume that a sample of a levels of a random ...
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Optimal Guidance of Low Thrust Interplanetary Space Vehicles
... ABSTRACT The low-thrust guidance problem is defined as the minimum terminal variance MTV control of a space vehicl e subjected to random perturbations of its trajectory ... To accomplish[r] ...
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Minimum Variance Signal Selection for Aorta Radius Estimation Using Radar
... This article focuses on identifying an optimal signal choice for the estimation of the diameter of a lossy cylinder with slowly-varying radius, in a lossy environment, which has been sim[r] ...
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