Control Architecture and Simulation of the Borea Quadrotor

The paper presents modelling, control design and simulated results preliminary to test the Borea quadrotor. Guidance, navigation and control strategy are implemented following the Embedded Model Control (EMC) schem

Hybrid Genetic Bees Algorithm applied to Single Machine Scheduling with Earliness and Tardiness Penalties

This paper presents a hybrid Genetic-Bees Algorithm based optimised solution for the single machine scheduling problem. The enhancement of the Bees Algorithm (BA) is conducted using the Genetic Algorithm's (GA's) operators during the global search stage. The proposed enhancement aims to increase the global search capability of the BA gradually with new additions. Although the BA has very successful implementations on various type of optimisation problems, it has found that the algorithm suffers from weak global search ability which increases the computational complexities on NP-hard type optimisation problems e.g. combinatorial/permutational type optimisation problems. This weakness occurs due to using a simple global random search operation during the search process. To reinforce the global search process in the BA, the proposed enhancement is utilised to increase exploration capability by expanding the number of fittest solutions through the genetical variations of promising solutions. The hybridisation process is realised by including two strategies into the basic BA, named as â\u80\u9creinforced global searchâ\u80\u9d and â\u80\u9cjumping functionâ\u80\u9d strategies. The reinforced global search strategy is the first stage of the hybridisation process and contains the mutation operator of the GA. The second strategy, jumping function strategy, consists of four GA operators as single point crossover, multipoint crossover, mutation and randomisation. To demonstrate the strength of the proposed solution, several experiments were carried out on 280 well-known single machine benchmark instances, and the results are presented by comparing to other well-known heuristic algorithms. According to the experiments, the proposed enhancements provides better capability to basic BA to jump from local minima, and GBA performed better compared to BA in terms of convergence and the quality of results. The convergence time reduced about 60% with about 30% better results for highly constrained jobs

Applied macroeconomics for public policy /

Applied Macroeconomics for Public Policy applies system and control theory approaches to macroeconomic problems. The book shows how to build simple and efficient macroeconomic models for policy analysis. By using these models, instead of complex multi-criteria models with uncertain parameters, readers will gain new certainty in macroeconomic decision-making. As high debt to GDP ratios cause problems in societies, this book provides insights on improving economies during and after economic downturns. Provides a detailed analysis of existing macroeconomic models. Addresses the dynamics of debt to GDP ratio and the effects of fiscal and monetary policy on this ratio. Shows how to use models to evaluate the dynamics of the debt to GDP ratio in cases of government spending and tax cuts and to decide whether such economic measures are efficient. Uses optimal theory to obtain optimal yearly debt levels to reach the established goals (decrease debt or balance budget) Provides many examples and software exercises to promote learning by doing.Includes bibliographical references and index.Applied Macroeconomics for Public Policy applies system and control theory approaches to macroeconomic problems. The book shows how to build simple and efficient macroeconomic models for policy analysis. By using these models, instead of complex multi-criteria models with uncertain parameters, readers will gain new certainty in macroeconomic decision-making. As high debt to GDP ratios cause problems in societies, this book provides insights on improving economies during and after economic downturns. Provides a detailed analysis of existing macroeconomic models. Addresses the dynamics of debt to GDP ratio and the effects of fiscal and monetary policy on this ratio. Shows how to use models to evaluate the dynamics of the debt to GDP ratio in cases of government spending and tax cuts and to decide whether such economic measures are efficient. Uses optimal theory to obtain optimal yearly debt levels to reach the established goals (decrease debt or balance budget) Provides many examples and software exercises to promote learning by doing.Online resource; title from PDF title page (EBSCO, viewed June 26, 2018)Online resource; title from PDF title page (EBSCO, viewed September 6, 2018).Intro; Title page; Table of Contents; Copyright; About the Authors; Preface; Chapter One. Problems and Tools of Applied Macroeconomics; 1.1. Introduction; 1.2. Basic Goals and Parameters of Macroeconomic Systems; 1.3. Macroeconomic Time Series; 1.4. Theoretical Aspects of Stimulus and Austerity Policies; 1.5. Fiscal Multipliers; 1.6. Specifics of Macroeconomic Models; 1.7. The Debt to Gross Domestic Product Ratio as a Compromised Efficiency Criterion; Chapter Two. Fiscal Stimulus Policy; 2.1. Introduction; 2.2. The Debt to GDP Ratio Dynamics for Fiscal Expenditure Stimulus2.3. The Debt to GDP Ratio Dynamics for Fiscal Stimulus Policy2.4. Discrete Debt to GDP Ratio Dynamics Models for Fiscal Stimulus Policy; 2.5. Generalized Debt to GDP Ratio Dynamics Model; 2.6. The Consequences of High National Debt; Chapter Three. How Dangerous Is National Debt; 3.1. Introduction; 3.2. Optimal Approach to the Debt Reduction Problem; 3.3. Specifics of the Discrete Optimization Model; 3.4. Optimization Procedure and Debt Estimates; Chapter Four. Realization of Established Goals; 4.1. Introduction; 4.2. Analysis of Proposals Focused on Improving the Economy4.3. Politics and Economy: Problems Economists Evade4.4. Decision-Making During Periods of Economic Decline; 4.5. How to Improve the Economy; 4.6. Extending Macroeconomic Tools; Chapter Five. Debt-Related Models Software; 5.1. Introduction; 5.2. Software for the Debt to GDP Ratio Models; 5.3. Software for Optimal Problems; Afterword; Appendix A; Appendix B; Appendix C; Appendix D; Glossary; IndexElsevie