{ "item_title" : "Estimation Problems in Hybrid Systems", "item_author" : [" David D. Sworder", "John E. Boyd "], "item_description" : "Recent developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid, nonlinear systems. This volume presents a highly effective, flexible family of estimation algorithms that can be used in estimating or controlling a wide variety of nonlinear plants. Several applications are studied, including tracking a maneuvering aircraft, automatic target recognition, and the decoding of signals transmitted across a wireless communications link. The authors begin by setting out the necessary theoretical background. They then develop a practical, finite-dimensional approximation to an optimal estimator. Throughout the chapters they illustrate theoretical results by simulation of control and estimation in real-world hybrid systems, drawn from a variety of engineering fields. The book will be of great interest to graduate students and researchers in electrical and computer engineering. It will also be a useful reference for practicing engineers involved in the design of estimation, tracking or wireless communications systems.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/52/162/320/0521623200_b.jpg", "price_data" : { "retail_price" : "170.00", "online_price" : "170.00", "our_price" : "170.00", "club_price" : "170.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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