Implementation of the New Control Methods in Simplification of a Multidimensional Control and Optimization of a Control System Parameters.

The main purpose of this text is to present application of the Largest Lyapunov Exponent (LLE) as a criterion for optimization of the new type of simple controller parameters. Investigated controller is the part of numerically simulated control system. The calculation of LLE was done with a new method [2]. Introduction contains reference to previous publications on inverted pendulum control and Lyapunov stability. Application of the new simple formula for LLE estimation in control systems is discussed. In the next part simulated dynamical system is described and new type of simple controller allowing to control multidimensional system is introduced. In the last part results of the simulation are shown along with conclusions to whole dynamics analysis. Comparison of the proposed regulator with the linearquadratic regulator (LQR) was verified and its better effectiveness with respect to LQR was proved

Optimization of the Control System Parameters with Use of the New Simple Method of the Largest Lyapunov Exponent Estimation.

This text covers application of Largest Lapunov Exponent (LLE) as a criterion for control performance assessment (CPA) in a simulated control system. The main task is to find a simple and effective method to search for the best configuration of a controller in a control system. In this context, CPA criterion based on calculation of LLE by means of a new method [3] is compared to classical CPA criteria used in control engineering [1]. Introduction contains references to previous publications on Lyapunov stability. Later on, description of classical criteria for CPA along with formulae is presented. Significance of LLE in control systems is explained. Moreover, new efficient formula for calculation of LLE [3] is shown. In the second part simulation of the control system used for experiment is described. The next part contains results of the simulation in which typical criteria for CPA are compared with criterion based on value of LLE. In the last part results of the experiment are summed up and conclusions are drawn

Application of the Lyapunov Exponent Based on Current Vibration Control Parameter (CVC) in Control of an Industrial Robot.

Controlling dynamics of industrial robots is one of the most important and complicated tasks in robotics. In some works[3,7], there are algorithms of the manipulators steering with flexible joints or arms. However, introducing them to calculation of trajectory results in complicated equations and a longer time of counting. On the other hand, works [4,5,6]show that improvement of the tool path is possible thanks to the previousidentification of the robot errors and their compensation. This text covers application of Largest Lyapunov Exponent (LLE) as a criterion for control performance assessment (CPA) in a real control system. The main task is to find a simple and effective method to search for the best configuration of a controller in a control system. In this context, CPA criterion based on calculation of LLE by means of a new method [9–11] is presented in the article

A new approach to estimation of actively managed component of foreign exchange reserves

Changes in foreign exchange (FX) reserves are difficult to measure in an economically meaningful way because central banks do not decompose reported data into passive and active components. Only the latter should be used when the usefulness of FX reserves in crisis management is assessed or symptoms of currency manipulations are looked for. The applicability of the existing approach to identification of active component of FX reserves is highly limited as it relies on data that are available for a relatively short timespan. To overcome these problems the new approach to estimation of active component of FX reserves is laid out. It makes use of a time-varying coefficient model estimated with Bayesian techniques. The empirical results are obtained for 20 countries over 1995-2017 period. The main finding is that the estimates from the new approach are highly correlated with those from the existing approach, but the timespan of the former is substantially larger than that of the latter. The estimates based on the new approach are cross-checked against the data on FX market interventions of the Czech National Bank. It is demonstrated that the estimates are in general superior to plain changes in FX reserves as a measure of FX interventions and are not worse than those from the existing approach

2,4-Dibutoxy­phenyl­boronic acid

In the crystal of the title compound, C14H23BO4, centrosymmetric dimers linked by pairs of O—H⋯O hydrogen bonds occur. The dimers are linked via C—H⋯O contacts, generating a two-dimensional array parallel to (12). These are inter­connected by weak O—H⋯O hydrogen bonds, as well as C—H⋯π inter­actions

(2,4-Dipropoxyphen­yl)boronic acid

In the crystal, the title compound, C12H19BO4, exists as a centrosymmetric O—H⋯O hydrogen-bonded dimer. Dimers are linked via C—H⋯O hydrogen bonds, generating an infinite zigzag chain oriented parallel to [11]. The chains are assembled, giving sheets aligned parallel to (21) and inter­connected by weak C—H⋯π inter­actions, producing a three-dimensional network

Exchange rate as a shock absorber or a shock propagator in Poland and Slovakia - an approach based on Bayesian SVAR models with common serial correlation

The paper examines whether exchange rates in Poland and Slovakia acted as shock absorbers or rather shock-propagating mechanisms. A set of Bayesian structural VAR models is built for each country that enables us to identify supply, demand, monetary and financial shocks. Identifying restrictions are derived from the extended stochastic macroeconomic model of an open economy. Sample covers quarterly data 1998-2013. After careful consideration of alternative VAR specifications it is demonstrated that overly parsimonious VARs result in an imperfect identification of shocks that distorts the results. Empirical evidence is found that the higher exchange rate flexibility in Poland than in Slovakia contributed to the absorption of shocks. Though financial shocks had stronger influence on the exchange rate in Poland than in Slovakia, especially in the run-up to the crisis, the participation in the ERM II did not protected the Slovak koruna against the strong and excessive appreciation

Insulating property of the flexible exchange rate regime: A case of Central and Eastern European countries

We examine the insulating property of flexible exchange rate in CEE economies using the fact that they have adopted different regimes. A set of Bayesian structural VAR models with common serial correlations is estimated on data spanning 1998q1-2015q4. The long-term identifying restrictions are derived from a macroeconomic model. We find that irrespective of the exchange rate regime output is driven mainly by real shocks. Its reactions to these shocks, however, are substantially stronger under less flexible regimes, whereas the responses to nominal shocks are similar. Hence, the insulating property of flexible regimes can reduce the costs from economic shocks