linear parameter dependent control
PARAMETER DEPENDENT FUNCTIONAL FORMS OF DETERMINING MATRICES FOR A CLASS OF TRIPLE DELAY CONTROL SYSTEMS
... of linear autonomous control systems, determining matrices are preferred veritable tools as they are the least computationally intensive when compared to indices of control systems matrices or ...
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Real-time predictive control for SI engines using linear parameter-varying models
... that control the engine torque and AFR, namely throttle position, fuel pulse width (FPW), intake and exhaust cam phaser angles, and the spark ...operating-point dependent tables optimized to produce the ...
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Robust constrained model predictive control based on parameter-dependent Lyapunov functions
... predictive control (MPC) of systems with polytopic uncertainty is considered in this ...of parameter-dependent Lyapunov functions are proposed in terms of linear matrix inequalities (LMIs), ...
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Identification and control of electro mechanical systems using state dependent parameter estimation
... At first glance, the results obtained with the standard IDIM-LS identification method and the linear friction model seems quite acceptable. Indeed, the relative error is small (less than 5%) and the estimated mass ...
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Proportional integral plus control applications of state dependent parameter models
... The underlying model structure and potential state In each case, the novel SDP–PIP approach is com- variables are first identified by statistical estimation pared with a benchmark linear PIP design. Sections of ...
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Non-linear predictive generalised minimum variance state-dependent control
... predictive control cost-function to be minimised involves both weighted error and control costing terms, which can be used with different error and control ...of control signal input to the ...
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MPC for LPV Systems Based on Parameter Dependent Lyapunov Function with Perturbation on Control Input Strategy
... predictive control (MPC) algorithm for linear parameter varying (LPV) systems is ...using parameter-dependent Lyapunov function and the second step is derived by using the perturbation ...
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Advanced Design Techniques in Linear Parameter Varying Control
... general parameter dependence with ...that, parameter variation infor- mation was incorporated into the analysis conditions in [97, ...with parameter dependent Lyapunov function lead to the ...
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An Equivalent LMI Representation of Bounded Real Lemma for Continuous Time Systems
... equivalent linear matrix inequality representation of BRL for linear continuous-time systems is ...is linear with Lyapunov function matrix and system matrix and does not include any product of ...
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State dependent parameter model identification for inverse dead zone control of a hydraulic manipulator
... of the delayed input signal. In other words, the model is an integrator with nonlinear gain and time-delays. However, prior articles concerning these manipulators (e.g. Robertson et al., 2012; Taylor and Robertson, 2013) ...
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Optimizing Conditions for Scandium Extraction from Bauxite Residue Using Taguchi Methodology
... Leaching time. In order to study the effect of these parameters on the proposed process, and identify their optimized values, a matrix experiment is set up by appropriately changing their values over a specified range ...
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Stochastic Stability Analysis and Control of Networked Control Systems with Multiple Markovian Processes
... networked control systems in the presence of network induced delays and packet ...predictor control scheme is designed ...networked control systems and optimal gain is calculated for stabilizing ...
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Transformation Using Neural-Based Identification for Controlling Singularly- Perturbed Eigenvalue-Preserved Reduced Order Systems
... of Linear Matrix Inequality (LMI) was used to determine the permutation matrix [P], which is required to complete system transformation matrices {[ B ~ ], [ C ~ ], [ D ~ ...to control the ...
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Adaptation in Stochastic Dynamic Systems—Survey and New Results I
... These functions are not always broken into the three separate processes; in fact however, they are considered inherent to any adaptive system. Sometimes, identifi- cation is not separate from modification, and then no ...
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Properties of a class of mean dependent on a parameter
... 2 Series representations for the reciprocal of Mp a, b Some useful integral and series representations related to these means will be developed next.. Returning to the integral for Mp a,[r] ...
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Low Back Pain Patients
... the linear parameter data were higher in the LBP individuals as compared with the healthy control in 273. both the AP and ML directions for the rigid and foam conditions[r] ...
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Analytical and Numerical Investigations of Probabilistic Monochromatic Problem
... a linear correspondence to the data domain, it would enter in the conditional amplitude ...non-linear parameter and additional hyperparameter would be estimated by the joint settings posterior ...
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Time varying parameter and fixed parameter linear AIDS : an application to tourism demand forecasting
... fixed- parameter long-run LAIDS, all of the specific LAIDS models except the homogeneity-and-symmetry-restricted fixed-parameter long-run LAIDS show improved forecasting accuracy, irrespective of whether ...
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AN EVALUATION OF TRANSITION TEMPERATURE TC AND EVALUATION OF PRESSURE AND VOLUME DEPENDENT ((dT_c)/dp),((dT_c)/dv), ISOTOPE COEFFICIENT (?) AND ENERGY GAP PARAMETER (?) FOR ALKALI METAL DOPED FULLERIDE K3C60
... Available Online at www.ijpret.com 57 where ∆(0) is the energy gap at zero temperature. The gap parameter when intramolecular phonons are alone considered in the pairing mechanism is estimated as 3.54 which is ...
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Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques
... generalized linear model (GLM) approach used by Lewi et ...terms control and interrogation interchangeably; control is the conventional expression, whereas the word interrogation expresses our aims ...
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