Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State Data

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model

Download Full-text

The Convex Polytopes and Homogeneous Coordinate Rings of Bivariate Polynomials

Scientific Research Journal ◽

10.24191/srj.v16i2.9346 ◽

2019 ◽

Vol 16 (2) ◽

pp. 1

Author(s):

Shamsatun Nahar Ahmad ◽

Nor’Aini Aris ◽

Azlina Jumadi

Keyword(s):

Convex Polytopes ◽

Polynomial Systems ◽

Matrix Formulation ◽

Bivariate Polynomials ◽

Homogeneous Coordinates ◽

The Matrix ◽

Projective Vector ◽

Coordinate Rings ◽

Resultant Matrix ◽

The Given

Concepts from algebraic geometry such as cones and fans are related to toric varieties and can be applied to determine the convex polytopes and homogeneous coordinate rings of multivariate polynomial systems. The homogeneous coordinates of a system in its projective vector space can be associated with the entries of the resultant matrix of the system under consideration. This paper presents some conditions for the homogeneous coordinates of a certain system of bivariate polynomials through the construction and implementation of the Sylvester-Bèzout hybrid resultant matrix formulation. This basis of the implementation of the Bèzout block applies a combinatorial approach on a set of linear inequalities, named 5-rule. The inequalities involved the set of exponent vectors of the monomials of the system and the entries of the matrix are determined from the coefficients of facets variable known as brackets. The approach can determine the homogeneous coordinates of the given system and the entries of the Bèzout block. Conditions for determining the homogeneous coordinates are also given and proven.

Download Full-text

A Method for Solving the Inverse Problem of Chemical Kinetics for a Nonisothermal Gradientless Reactor Based on Steady-State Data

Theoretical Foundations of Chemical Engineering ◽

10.1134/s004057952005036x ◽

2020 ◽

Vol 54 (5) ◽

pp. 863-871

Author(s):

N. I. Kol’tsov

Keyword(s):

Inverse Problem ◽

Steady State ◽

Chemical Kinetics ◽

State Data ◽

Gradientless Reactor

Download Full-text

Statistical Approaches to Structural Change in Regional Interindustry Models

Environment and Planning A Economy and Space ◽

10.1068/a181189 ◽

1986 ◽

Vol 18 (9) ◽

pp. 1189-1207

Author(s):

B Ó Huallacháin

Keyword(s):

Structural Change ◽

Structural Changes ◽

Washington State ◽

Multivariate Statistical Analyses ◽

Input Output ◽

Multivariate Statistical ◽

State Data ◽

System A ◽

Statistical Approaches ◽

The Impact

The conventional approach to assessing structural change in regional input – output tables is to measure the impact of coefficient change on the estimation of outputs and multipliers. The methods developed and tested in this paper focus exclusively on the coefficients. Univariate and multivariate statistical analyses can be used to identify and measure various types of changes ranging from coefficient instability to changes in interindustry relationships as a system. A distinction is made between structural changes in input relationships and those in output relationships. The methods are tested by using Washington State data for the years 1963 and 1967. The results are compared with previous analyses of change in these data.

Download Full-text

Enlarging the region of stability in robust model predictive controller based on dual-mode control

Transactions of the Institute of Measurement and Control ◽

10.1177/01423312211012362 ◽

2021 ◽

pp. 014233122110123

Author(s):

Fatemeh Khani ◽

Mohammad Haeri

Keyword(s):

Stability Region ◽

Linear Matrix ◽

Input State ◽

Dual Mode ◽

Model Predictive Controller ◽

Mode Control ◽

Robust Model ◽

Output Constraints ◽

Predictive Controller ◽

The Stability

Industrial processes are inherently nonlinear with input, state, and output constraints. A proper control system should handle these challenging control problems over a large operating region. The robust model predictive controller (RMPC) could be an linear matrix inequality (LMI)-based method that estimates stability region of the closed-loop system as an ellipsoid. This presentation, however, restricts confident application of the controller on systems with large operating regions. In this paper, a dual-mode control strategy is employed to enlarge the stability region in first place and then, trajectory reversing method (TRM) is employed to approximate the stability region more accurately. Finally, the effectiveness of the proposed scheme is illustrated on a continuous stirred tank reactor (CSTR) process.

Download Full-text

Personality dynamics at work: The effects of form, time, and context of variability

European Journal of Personality ◽

10.1177/08902070211017341 ◽

2021 ◽

pp. 089020702110173

Author(s):

Nadin Beckmann ◽

Damian P Birney ◽

Amirali Minbashian ◽

Jens F Beckmann

Keyword(s):

Individual Differences ◽

Cognitive Ability ◽

Temporal Stability ◽

Limited Evidence ◽

Short Term ◽

State Data ◽

The Status ◽

Over Time ◽

Trait Variability

The study aimed to investigate the status of within-person state variability in neuroticism and conscientiousness as individual differences constructs by exploring their (a) temporal stability, (b) cross-context consistency, (c) empirical links to selected antecedents, and (d) empirical links to longer term trait variability. Employing a sample of professionals ( N = 346) from Australian organisations, personality state data together with situation appraisals were collected using experience sampling methodology in field and repeatedly in lab-like settings. Data on personality traits, cognitive ability, and motivational mindsets were collected at baseline and after two years. Contingent (situation contingencies) and non-contingent (relative SD) state variability indices were relatively stable over time and across contexts. Only a small number of predictive effects of state variability were observed, and these differed across contexts. Cognitive ability appeared to be associated with state variability under lab-like conditions. There was limited evidence of links between short-term state and long-term trait variability, except for a small effect for neuroticism. Some evidence of positive manifold was found for non-contingent variability. Systematic efforts are required to further elucidate the complex pattern of results regarding the antecedents, correlates and outcomes of individual differences in state variability.

Download Full-text