{"product_id":"nonlinear-pinning-control-of-complex-dynamical-networks","title":"Nonlinear Pinning Control of Complex Dynamical Networks","description":"\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003eThe 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. \u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":45589250048238,"sku":"9781032020877","price":260.8,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/9781032020877_75216d68-922a-4586-b256-13d72a8b3603.jpg?v=1721220735","url":"https:\/\/bookland.com.au\/products\/nonlinear-pinning-control-of-complex-dynamical-networks","provider":"Book Land AU","version":"1.0","type":"link"}