This paper explores cooperative control strategies in distributed control systems (DCS), focusing on methods for achieving coordinated and efficient control across multiple interconnected nodes. Distributed control systems are widely employed in various applications, including industrial automation, smart grids, and networked robotic systems, where decentralized decision-making and communication among subsystems are essential. Cooperative control strategies enable distributed nodes to collaborate effectively, share information, and coordinate actions to achieve common objectives while adapting to dynamic environmental conditions. This study reviews existing cooperative control approaches, such as consensus algorithms, distributed optimization, and game theory-based methods, highlighting their advantages, limitations, and applications in different domains. Through a comprehensive analysis, this paper aims to provide insights into the design, implementation, and performance evaluation of cooperative control strategies in distributed control systems.

Cooperative control, Distributed control systems, Consensus algorithms

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