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Linear Parameter Varying

Analysis of gain scheduled control for linear parameter-varying plants

Analysis of gain scheduled control for linear parameter-varying plants

... As in the case of nominal stability, the conditions one needs to check in order to verify time-varying robustness/performance are (1) the frozen-time systems are stable[r] ...

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Hinf delay-scheduled control of linear systems with time-varying delays

Hinf delay-scheduled control of linear systems with time-varying delays

... uncertain linear parameter varying system (11) where the operator D h ( 1 ) plays the role of a norm-bounded uncer- tainty, and the delay h(t) the role of a time-varying parameter ...

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Statistical detection and isolation of additive faults in linear time-varying systems

Statistical detection and isolation of additive faults in linear time-varying systems

... to linear time-varying (LTV) systems, whereas the more classical LTI approximation is usually related to the linearization around a single working ...non- linear control systems have been widely ...

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Parameter dependent state-feedback control of LPV time-delay systems with time-varying delays using a projection approach

Parameter dependent state-feedback control of LPV time-delay systems with time-varying delays using a projection approach

... Keywords: Linear parameter-varying systems; Systems with time-delays; Robust linear matrix inequalities 1. INTRODUCTION Since several years, time-delay systems ([Moon et al., 2001, Niculescu, ...

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Aggregation of predictors for non stationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes

Aggregation of predictors for non stationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes

... In this contribution, we consider two possible aggregation schemes based on ex- ponential weights which can be computed recursively. We provide oracle inequalities applying to the aggregated predictor under the following ...

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Design of Piecewise Affine and Linear Time-Varying Model Predictive Control Strategies for Advanced Battery Management Systems

Design of Piecewise Affine and Linear Time-Varying Model Predictive Control Strategies for Advanced Battery Management Systems

... the benefit of not relying on binary variables, therefore dramatically reducing the online computational cost. The effectiveness of the pro- posed control algorithms is demonstrated by comparing closed-loop performance ...

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Predicting the non-linear shear behaviour of deep beams based on a two-parameter kinematic model

Predicting the non-linear shear behaviour of deep beams based on a two-parameter kinematic model

... is DOF ε t,avg and the vertical axis are the shear forces. As ε t,avg increases, the shear obtained from moment equilibrium condition (1) increases linearly (see black thick line) owing to the linear elastic ...

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Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models

Sequential Monte Carlo smoothing with application to parameter estimation in non-linear state space models

... where {s k ; k ≥ 0} is a sequence of measurable functions (which may depend on the ob- served values Y 0:n ). As an example of when smoothing of such additive functionals is important, consider the case of maximum ...

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Adaptive Exponent Parameter: a Robust Control Solution Balancing Between Linear and Twisting Controllers

Adaptive Exponent Parameter: a Robust Control Solution Balancing Between Linear and Twisting Controllers

... (17a): the objective is to avoid α increasing beyond 1. (17b): the objective is to avoid α decreasing below 0. (17c): the adaptation is effective and detailed in the sequel. The degree ˙ α is limited to a minimum value ...

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Constant time horizon prediction-based control for linear systems with time-varying input delay

Constant time horizon prediction-based control for linear systems with time-varying input delay

... small. This conclusion only has to hold in average, in a mathematical sense that we specify. This is consistent with previous results reported in the study of Bekiaris-Liberis and Krstic (2013), which considers ...

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Analyzing spatially-varying blur

Analyzing spatially-varying blur

... One general insight that is drawn from this work is that instead of simultaneously estimating the blur kernel and a single sharp image that best explain a given input, it is often prefer[r] ...

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Regional low-flow frequency analysis with a recession parameter from a non-linear reservoir model.

Regional low-flow frequency analysis with a recession parameter from a non-linear reservoir model.

... parameters at partially gaged sites in a regional low-flow frequency analysis model. Indeed, 335[r] ...

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Transformation of Uncertain Linear Systems with Real Eigenvalues into Cooperative Form: The Case of Constant and Time-Varying Bounded Parameters

Transformation of Uncertain Linear Systems with Real Eigenvalues into Cooperative Form: The Case of Constant and Time-Varying Bounded Parameters

... of linear state equations which enforce cooperativity can be classified into either point-valued approaches or into techniques that employ an interval-valued change of coordinates [ 28 ...for ...

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Certified Rapid Solution of Parametrized Linear Elliptic Equations: Application to Parameter Estimation

Certified Rapid Solution of Parametrized Linear Elliptic Equations: Application to Parameter Estimation

... ∗ Singapore-MIT Alliance † Department of Mechanical Engineering, National University of Singapore ‡ Department of Mechanical Engineering, Massachusetts Institute of Technology Abstract— We present a technique for the ...

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Predicting the Best System Parameter Configuration: the (Per  Parameter Learning) PPL method

Predicting the Best System Parameter Configuration: the (Per Parameter Learning) PPL method

... After indexing, the next step is to generate the set of K system configurations including the various values of the considered parameters in P. If all the possible configurations were generated, the chance of getting the ...

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On Homogeneous Distributed Parameter Systems

On Homogeneous Distributed Parameter Systems

... Homogeneity is a useful tool for advanced analysis of non- linear dynamic systems. For instance, it allows local properties of a system (e.g. asymptotic stability) to be extended globally. Qualitative stability ...

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Automated MOSFET parameter extraction

Automated MOSFET parameter extraction

... After the test files are inserted and read by the newanal program, the program will first calculate the threshold voltage using maximum slope method (described in section 5.1), the [r] ...

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An optimal time control problem for the one-dimensional, linear, normalized heat equation, in the presence of a scaling parameter

An optimal time control problem for the one-dimensional, linear, normalized heat equation, in the presence of a scaling parameter

... The generalization in infinite dimension was initiated by H.O. Fattorini [2], [3], [4], and developed by J.L. Li- ons [5]. The book of M. Tucsnak et G. Weiss [6] is an unavoidable reference for the control. The objective ...

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parameterizing Intersection of Time-varying Quadrics

parameterizing Intersection of Time-varying Quadrics

... are linear in at least one parameter, it follows that, in order to optimally parameterize the intersection, it is needed to find a quadric with positive ...

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Cosmological Parameter Estimation: Method

Cosmological Parameter Estimation: Method

... Figure 1: Angular power spectrum estimates of the CMB anisotropies in September 2003 ([7, 8, 9, 10, 11, 12, 13, 14, 15]). Notice the good agreement between band powers coming from different experiments (different ...

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