Meet the editor

Dr. Elmer P. Dadios obtained his Ph.D. from Loughborough University, United Kingdom. He is a Distinguished Professor and University Fellow of De La Salle University, Manila, Philippines. He is a Professorial Chairholder of the Thomas J. Lee Chair in Manufacturing Engineering Management and Victor T. Lu Chair in Production Management. He is the founder and chairman of the board of Neuronmek Inc. and Intelligent Systems Innovation

Corporation. He is a top 100 scientist in the Philippines, according to the AD Scientific Index 2022. He was also listed as a top 100 scientist in 2019 by Asian Scientist Magazine. Dr. Dadios is the recipient of the 2018 Philippine Association for the Advancement of Science and Technology D. M. Consunji Award for Engineering Research; Lifetime Achievement Award from the National Research Council of the Philippines (NRCP); and the Department of Science and Technology (DOST) 50 Men and Women of Science and Technology. Currently, Dr. Dadios serves as editor of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) and the Journal of AI, Computer Science, and Robotics Technology. He is the editor-in-chief of the Journal of Computational Intelligence in Engineering Applications (JCIEA). He was the chair of the IEEE Philippines Section from 2010 to 2012, and the founder and chair of the IEEE Computational Intelligence Society - Philippines Chapter and the IEEE Robotics and Automation Society (RAS) - Philippines Chapter. He was also an EXCOM member of the IEEE Asia-Pacific Region from 2012 to 2020. He was the chair of the IEEE Asia-Pacific Region Awards and Recognition Committee from 2016 to 2020.

Contents

A Meta-Analysis Research

Robotic Team for Search and Rescue

*Antun Ivanović and Stjepan Bogdan*

*by Murat Aydın*

of Chase Problem *by İhsan Ömür Bucak*

*by Igor N. Sinitsyn*

**Preface XI**

**Chapter 1 1**

**Chapter 2 39**

**Chapter 3 59**

**Chapter 4 87**

**Chapter 5 113**

Automation and Control for Adaptive Management System of Urban Agriculture Using Computational Intelligence *by Elmer P. Dadios, Ryan Rhay Vicerra, Sandy Lauguico, Argel Bandala, Ronnie Concepcion II and Edwin Sybingco*

A Review of BIM-Based Automated Code Compliance Checking:

A Heuristically Generated Metric Approach to the Solution

From ERL to MBZIRC: Development of An Aerial-Ground

*Ivo Vatavuk, Lovro Marković, Marko Car, Ivan Hrabar,* 

*by Barbara Arbanas, Frano Petric, Ana Batinović, Marsela Polić,* 

Theory of Control Stochastic Systems with Unsolved Derivatives

## Contents


Preface

Automation and control are the powers or abilities to make something or someone performs a task in a complex and changing environment. Advances in automation and control today cover many areas of technology where human input is minimized. These areas include not only industry and manufacturing but also agriculture management and business-specific types of automation such as IT, policy, and regulatory automations. Automation and control are also used for personal applications such as games. This book discusses numerous types and applications of automation and

Chapter 1 deals with automation and control for adaptive management of urban agriculture using computational intelligence. The insufficiency in food production is a global challenge that needs to be addressed, as emphasized by the United Nations Sustainable Development Goal 12 (SDG-12). One of the most feasible solutions to the global food shortage is the establishment of farms in urban areas. Urban agriculture (UA) is a concept that has been put forth to promote the planting and cultivating of crops within cities. This chapter presents an adaptive management system (AMS) that operates UA autonomously to provide an artificial environment suitable to grow

Chapter 2 presents a review of building information modeling (BIM)–based automated code compliance checking (ACCC). A high level of interoperability and cooperation is essential to enhance expertise and automation in the construction industry. The required data must be represented correctly according to the types and characteristics of buildings. Manually conducted building regulation checking, a traditional method, is a repetitive, time-consuming, and error-prone process for architects, engineers, and public authorities. The BIM's effective automated code compliance checking is considered a promising domain in Architecture, Engineering, and Construction (AEC). In this chapter, the study fields are limited to architectural design, automation, building codes, engineering, environmental science, construction industry, and construction building technology. The results

presented assert the importance of automated code compliance checking.

Chapter 3 presents a control algorithm using a heuristically generated metric approach to the solution of a chase problem (a pursuer and a prey). This is a cat-and-mouse game involving the cat and mouse finding each other, making smart moves, and making appropriate decisions. A fuzzy logic system controller is developed to obtain the distance and find a route between the cat and the mouse. A problem of this kind is of interest to the military community and video game

Chapter 4 presents the development of an aerial-ground robotic team for a search-and-rescue operation. This team has been entered in the 2019 European Robotics League (ERL) Emergency Robots competition and the 2020 Mohamed Bin Zayed International Robotics Challenge (MBZIRC). Search-and-rescue problems for collaborative multi-robot systems have been an interesting research topic

control.

developers.

and produce cultivars effectively.
