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  • Precision Irrigation for Agriculture

    Integrating Machine Learning and Optimal Control Strategies

    Advanced methodologies in machine learning, optimal control, and agricultural water management to address irrigation scheduling in large-scale agricultureThrough a multidisciplinary approach, Precision Irrigation for Agriculture presents rigorous and practical methods that integrate machine learning, optimal control, and agricultural water management to design irrigation schedulers tailored for ... Leer más

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  • Economic Model Predictive Control

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    Series series Engineering (R0)
    This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems;two-tier ... Leer más

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  • Networked and Distributed Predictive Control

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    Series series Engineering (R0)
    Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems – the first book to do so. The design of model predictive control systems using Lyapunov-based techniques accounting for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture ... Leer más

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    Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB shows the reader how to exploit a fuller array of numerical methods for the analysis of complex scientific and engineering systems than is conventionally employed. The book is dedicated to numerical simulation of distributed parameter systems described by mixed systems of algebraic equations, ordinary differential equations (ODEs) and ... Leer más

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  • Harness Oil and Gas Big Data with Analytics

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    Series series Wiley and SAS Business Series
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  • Nonlinear Model Predictive Control

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    Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented ... Leer más

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  • The ASQ Certified Reliability Engineer Handbook

    This updated handbook is ideal for working professionals who specialize in improving the reliability, maintainability, and safety of products, systems, and processes. Organized according to the 2025 ASQ Certified Reliability Engineer (CRE) Body of Knowledge (BoK), the fourth edition of The ASQ Certified Reliability Engineer Handbook has been expanded to include new information, tools, and ... Leer más

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  • Predictive and Optimised Life Cycle Management

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    Predictive and Optimised Life-Cycle Management sets out methodologies to meet the demands of the current trend towards sustainable civil engineering and building.Encompassing all aspects of construction practice, from design through to demolition and the recycling of materials, Sarja provides tools for optimal property-value protection, including a description of an integrated and predictive Life ... Leer más

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  • Geostatistics Toronto 2021

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  • Managing Water Resources

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  • Efficient Learning Machines

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  • Smart Water Grids

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    The effects of climate change, rapid urbanization, and aging infrastructure challenge water policymakers to confront a radical paradigm shift in water resources utilization. Recent advances in sensing, networking, processing, and control have provided the means for sustainable solutions in water management, and their implementation in water infrastructures is collectively referred to as "smart ... Leer más

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