This book presents contextualised and detailed research on Artificial Intelligence (AI) and the Global South. It examines the key challenges of these emerging and least industrialised countries while proffering holistic and comprehensive solutions. The book then explains how AI, as part of these broad interventions, can drive Global South economies to achieve inclusive development and shared prosperity. The book outlines how countries can swiftly prepare to adopt and develop AI across all sectors. It presents novel national, regional, and continental AI adoption, development, and implementation frameworks.

Features:

• Broad non-AI interventions and prescriptions to address Global South challenges
• A comprehensive but accessible introduction to AI concepts, technology, infrastructure, systems, and innovations such as AlphaFold, ChatGPT-4, and DeepSeek-R1
• An overview of AI-related technologies such as quantum computing, battery energy storage systems, 3D printing, nanotechnology, IoT, and blockchain
• How to prepare emerging economies to unlock the benefits of AI while mitigating the risks
• Discussion of specific AI applications in 11 critical Global South sectors
• Details of 11 sector case studies of AI adoption in the Global South and Global North
• Ten country case studies: Sharing emergent AI experiences in the Global South
• AI adoption framework: vision, strategy, policy, governance, legislation/regulation, and implementation matrix
• A framework for democratising and decolonising AI
• The value proposition for AI research, development, and ownership in the Global South
• A case for the participation of the Global South in the AI semiconductor industry

Written to inspire and cultivate the ability to design and analyse feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. This second edition introduces 4IR adoption strategies for traditional intelligent control, including new techniques of implementing control systems. It provides improved coverage of the characteristics of feedback control, root-locus analysis, frequency-response analysis, state space methods, digital control systems and advanced controls, including updated worked examples and problems.

Features:

• Describes very timely applications and contains a good mix of theory, application, and computer simulation.
• Covers all the fundamentals of control systems.
• Takes a transdisciplinary and cross-disciplinary approach.
• Explores updates for 4IR (Industry 4.0) and includes better experiments and illustrations for nonlinear control systems.
• Includes homework problems, case studies, examples, and a solutions manual.

Decentralized Estimation and Control for
Multisensor Systems explores the problem of developing scalable, decentralized estimation and control algorithms for linear and nonlinear multisensor systems. Such algorithms have extensive applications in modular robotics and complex or large scale systems, including the Mars Rover, the Mir station, and Space Shuttle Columbia.
Most existing algorithms use some form of hierarchical or centralized structure for data gathering and processing. In contrast, in a fully decentralized system, all information is processed locally. A decentralized data fusion system includes a network of sensor nodes - each with its own processing facility, which together do not require any central processing or central communication facility. Only node-to-node communication and local system knowledge are permitted.
Algorithms for decentralized data fusion systems based on the linear information filter have been developed, obtaining decentrally the same results as those in a conventional centralized data fusion system. However, these algorithms are limited, indicating that existing decentralized data fusion algorithms have limited scalability and are wasteful of communications and computation resources.
Decentralized Estimation and Control for
Multisensor Systems aims to remove current limitations in decentralized data fusion algorithms and to extend the decentralized principle to problems involving local control and actuation.
The text discusses:
Generalizing the linear Information filter to the problem of estimation for nonlinear systems
Developing a decentralized form of the algorithm
Solving the problem of fully connected topologies by using generalized model distribution where the nodal system involves only locally relevant states
Reducing computational requirements by using smaller local model sizes
Defining internodal communication
Developing estimation algorithms for different models
Applying the decentralized algorithms to the problem of decentralized control
Demonstrating the theory to a modular wheeled mobile robot, a vehicle system with nonlinear kinematics and distributed means of acquiring information
Extending the applications to other robotic systems and large scale systems
Decentralized Estimation and Control for
Multisensor Systems addresses how decentralized estimation and control systems are rapidly becoming indispensable tools in a diverse range of applications - such as process control systems, aerospace, and mobile robotics - providing a self-contained, dynamic resource concerning electrical and mechanical engineering.

The first of three volumes, this book traces the leadership thoughts and philosophical disposition of Professor Arthur G.O. Mutambara over a period of 35 years, as his generation sought to become the transformation it wished to see in Zimbabwe.

The trilogy constitutes a fascinating intellectual and political journey by the man who would become Deputy Prime Minister of Zimbabwe at the age of 42. It is a collection of grounded reflections that he expressed over time, as he endeavoured to move, lead and inspire people, while turning strategic thinking into reality through the speed of execution.

Mutambara’s ambition has always been to change the world by igniting citizen activism. It is an epic journey of ideas that created evolutionary and even revolutionary advancement of democratic values, institution-building, social justice, empowerment, shared economic prosperity, people-centred governance and efficacious statecraft. The intrinsic value and relevance of the prescriptions proffered are both enduring and timeless. This volume deals with his formative years and early professional life. This period constitutes the making of a leader of global stature. His profound odyssey of thought leadership started at the age of 16, and moved through the University of Zimbabwe (UZ), where he graduated with a BSc (Hons) in Electrical Engineering. A statement he wrote as a student leader led to the unprecedented closure of UZ. He was injured and detained. His journey of ideas then proceeded to the University of Oxford, where he obtained an MSc in Computer Engineering and a PhD in Robotics and Mechatronics. The next stop was the United States, where he was a Research Scientist at NASA, Professor at MIT and Management Consultant at McKinsey.

The book ends with his return to the continent in 2002, equipped with Pan-African, business- and technology-driven developmental strategies and paradigms.