Decentralized Estimation and Control for Multisensor Systems, authored by Arthur G.O. Mutambara, is a foundational engineering text in the field of control systems and sensor data fusion. The book focuses on the mathematical frameworks and algorithms required to process information across multiple distributed sensors without relying on a single, centralized processing hub. The book’s core problem is: how can a distributed network of sensors and controllers estimate the state of a system and make control decisions efficiently, when centralized architectures become too slow, costly, or fragile? Mutambara argues that fully decentralized systems can process information locally while still achieving results comparable to centralized fusion in some cases, but with better scalability and resource use. Decentralized Estimation and Control for Multisensor Systems is a valuable resource for anyone in robotics, aerospace systems, distributed sensor networks, or control theory, because it addresses how to make large engineered systems work reliably without a central bottleneck. It is also an engineering text with practical relevance to systems like modular robotics and space systems, according to the abstract and academic listing.mlkscholars.
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