{ "item_title" : "Nonlinear Pinning Control of Complex Dynamical Networks", "item_author" : [" Edgar N. Sanchez", "Carlos J. Vega", "Oscar J. Suarez "], "item_description" : "This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning.The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/03/202/093/1032020938_b.jpg", "price_data" : { "retail_price" : "94.99", "online_price" : "94.99", "our_price" : "94.99", "club_price" : "94.99", "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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