Explicit Averaging Results for Linear Systems
Some Explicit Results for the Distribution Problem of Stochastic Linear Programming
... stochastic linear programming problem, where either the objective function coefficients or the right hand side coefficients are continuous random vectors with known probability ...
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Linear instrumental variables model averaging estimation
... that of TSLS-DN (RMB and RMAD), as well as the inter-decile range (IDR, the difference between the 10% and 90% deciles), as in Kuersteiner and Okui (2010). Tables 1 and 2 contain results for Models A and B, ...
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Fast Linear Iterations for Distributed Averaging 1
... [11] H. Wolkowicz, R. Saigal, and L. Vandengerghe, editors. Handbook of Semidefinite Programming, The- ory, Algorithms, and Applications. Kluwer, 2000. [12] L. Xiao and S. Boyd. Fast linear iterations for ...
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Averaging and control of nonlinear systems
... control systems, biomimetic and biome- chanical locomotive control systems have their unique difficulties when compared to canonical underac- tuated nonlinear control ...control systems examined to ...
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Explicit general solution of planar linear discrete systems with constant coefficients and weak delays
... of linear differential systems with constant coefficients and weak delays when the initially infinite dimensional space of solutions on the initial interval turns (after several steps) into a finite dimensional ...
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Optimal model averaging estimation for partially linear models
... the results, and then discuss each case in ...model averaging methods outperform selection ones. The superiority of averaging methods is particularly obvious when R 2 is ...and averaging ...
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Explicit Linear Kernels via Dynamic Programming
... similar results have been obtained on larger sparse graph classes, such as graphs excluding a minor [9] or a topological minor ...above results guarantee the existence of linear or polynomial kernels ...
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Essays on Robust Model Selection and Model Averaging for Linear Models
... simulation results for Ex- ample 2, where p increases to ...model averaging methods generally result in a much larger size of confidence set as a consequence of severe model uncertainly in higher predictor ...
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Averaging and rates of averaging for uniform families of deterministic fast slow skew product systems
... obtain results on averaging and rates of averaging for a large class of families of skew products ...where linear response fails, and flows built as suspensions over such ...
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Explicit or Symbolic Translation of Linear Temporal Logic to Automata
... the explicit and symbolic automaton ...safety-critical systems increase in size and complexity so too do the specifications describing safe system ...
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Statistical Averaging Method and New Statistical Averaging Method for Solving Extreme Point Multi–Objective Linear Programming Problem
... statistical averaging technique for EPMOLPP and new statistical averaging technique for EPMOLPP have been discussed and the results are compared in the following ...geometric averaging gives ...
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New Criteria of Model Selection and Model Averaging in Linear Regression Models
... the results of the third group (1:1 SNR) for the four criteria AIC, BIC, AICc, HQC, in addition to the three proposed criteria AVGAB, AVGAH, and ...The results of our proposed criteria will be shown for ...
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Implicit and Explicit Averaging Strategies for Simulation-Based Optimization of a Real-World Production Planning Problem
... Our results indicate a general advantage of implicit averaging in this setting, and a good degree of robustness with regard to population ...hand, explicit averaging is found to be ...
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Improved results on reachable set bounding for linear systems with discrete and distributed delays
... for linear systems with both discrete and distributed delays has been ...ear systems with mixed ...The results have been given to illustrate the advantages over the ones in [–, ...foregoing ...
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FUNDAMENTAL RESULTS ON DETERMINING MATRICES FOR A CLASS OF TRIPLE DELAY LINEAR CONTROL SYSTEMS
... ABSTRACT This research article obtainedrestricted functional forms of determining matrices for a class of triple-delay linear control systems for certain pertinent parameters, thus bridging the knowledge ...
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Balanced averaging of bilinear systems with applications to stochastic control
... for linear and bilinear systems. Section 3 states the averaging problem and contains the main result, Theorem ...diverse results related to the existence of the Gramian matrices on which our ...
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Solution Building for Arbitrary System of Linear Inequalities in an Explicit Form
... Experiment Results In accordance with the considered algorithm we have developed a demonstration version of the program im- plementing the orthogonal projecting procedure (OPP) by using the language VISUAL BASIC 6 ...
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Explicit non-linear model predictive control for autonomous helicopters
... use linear MPC so that the formulated OP can be solved by efficient Quadratic Programming ...a linear setting, associated techniques like linearisation and feedback linearisation techniques are usually ...
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Linear Systems. Signals and Systems
... Second, linear systems respond to sinusoids in a unique way: a sinusoidal input always results in a sinusoidal ...approach, systems are characterized by how they change the amplitude and phase ...
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Methods and tools for Bayesian variable selection and model averaging in normal linear regression
... 7 Conclusions and recommendations In this paper, we have examined the performance and the built-in possibilities of various R-packages available in CRAN for the purpose of Bayesian variable selection in linear ...
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