model predictive control made de morgan alex (12 resultados)

Paperback or Softback. Condición: New. Model Predictive Control Made Easy. Book.

Condición: New.

Condición: New.

Paperback. Condición: new. Paperback. A clear, intuitive, and practical introduction to one of the most powerful control techniques in modern engineering.Model Predictive Control (MPC) is everywhere-running chemical plants, stabilizing drones, optimizing HVAC systems, steering autonomous cars, and shaping the future of robotics and energy systems. Yet for many engineers, MPC still feels intimidating: too much math, too many assumptions, too many black-box solvers.This book fixes that.Model Predictive Control Made Easy takes you from intuition to implementation with clarity rarely found in technical literature. Instead of drowning you in equations, it builds understanding step by step-starting with how you drive a car, and ending with how to design real-time controllers that respect constraints, anticipate the future, and remain robust in the face of uncertainty.You'll learn: Why MPC works through simple, memorable analogiesHow to build prediction models using state-space systemsHow horizons, costs, and constraints shape controller behaviorHow to tune Q, R, and terminal costs without guessworkHow to handle actuator limits, rate limits, and safety constraintsHow to design offset-free MPC using disturbance modelsHow robust MPC and constraint tightening keep real systems safeWhy MPC reduces to LQR when constraints disappear-and why that mattersEvery chapter is written to be read by real engineers, not mathematicians. The explanations are crisp. The examples are practical. The insights come from real-world experience, not abstract theory.Whether you're working in robotics, automotive systems, process control, aerospace, or embedded systems, this book gives you the mental model and practical tools to design MPC controllers with confidence.If you've ever wanted MPC explained simply, clearly, and correctly-this is the book. Model Predictive Control sounds complicated-until you see how naturally it fits the way you already think. Look ahead. Plan. Adjust. Repeat. This book turns a powerful control method into something intuitive, practical, and simple. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Paperback. Condición: new. Paperback. A clear, intuitive, and practical introduction to one of the most powerful control techniques in modern engineering.Model Predictive Control (MPC) is everywhere-running chemical plants, stabilizing drones, optimizing HVAC systems, steering autonomous cars, and shaping the future of robotics and energy systems. Yet for many engineers, MPC still feels intimidating: too much math, too many assumptions, too many black-box solvers.This book fixes that.Model Predictive Control Made Easy takes you from intuition to implementation with clarity rarely found in technical literature. Instead of drowning you in equations, it builds understanding step by step-starting with how you drive a car, and ending with how to design real-time controllers that respect constraints, anticipate the future, and remain robust in the face of uncertainty.You'll learn: Why MPC works through simple, memorable analogiesHow to build prediction models using state-space systemsHow horizons, costs, and constraints shape controller behaviorHow to tune Q, R, and terminal costs without guessworkHow to handle actuator limits, rate limits, and safety constraintsHow to design offset-free MPC using disturbance modelsHow robust MPC and constraint tightening keep real systems safeWhy MPC reduces to LQR when constraints disappear-and why that mattersEvery chapter is written to be read by real engineers, not mathematicians. The explanations are crisp. The examples are practical. The insights come from real-world experience, not abstract theory.Whether you're working in robotics, automotive systems, process control, aerospace, or embedded systems, this book gives you the mental model and practical tools to design MPC controllers with confidence.If you've ever wanted MPC explained simply, clearly, and correctly-this is the book. Model Predictive Control sounds complicated-until you see how naturally it fits the way you already think. Look ahead. Plan. Adjust. Repeat. This book turns a powerful control method into something intuitive, practical, and simple. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condición: new. Paperback. A clear, intuitive, and practical introduction to one of the most powerful control techniques in modern engineering.Model Predictive Control (MPC) is everywhere-running chemical plants, stabilizing drones, optimizing HVAC systems, steering autonomous cars, and shaping the future of robotics and energy systems. Yet for many engineers, MPC still feels intimidating: too much math, too many assumptions, too many black-box solvers.This book fixes that.Model Predictive Control Made Easy takes you from intuition to implementation with clarity rarely found in technical literature. Instead of drowning you in equations, it builds understanding step by step-starting with how you drive a car, and ending with how to design real-time controllers that respect constraints, anticipate the future, and remain robust in the face of uncertainty.You'll learn: Why MPC works through simple, memorable analogiesHow to build prediction models using state-space systemsHow horizons, costs, and constraints shape controller behaviorHow to tune Q, R, and terminal costs without guessworkHow to handle actuator limits, rate limits, and safety constraintsHow to design offset-free MPC using disturbance modelsHow robust MPC and constraint tightening keep real systems safeWhy MPC reduces to LQR when constraints disappear-and why that mattersEvery chapter is written to be read by real engineers, not mathematicians. The explanations are crisp. The examples are practical. The insights come from real-world experience, not abstract theory.Whether you're working in robotics, automotive systems, process control, aerospace, or embedded systems, this book gives you the mental model and practical tools to design MPC controllers with confidence.If you've ever wanted MPC explained simply, clearly, and correctly-this is the book. Model Predictive Control sounds complicated-until you see how naturally it fits the way you already think. Look ahead. Plan. Adjust. Repeat. This book turns a powerful control method into something intuitive, practical, and simple. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A clear, intuitive, and practical introduction to one of the most powerful control techniques in modern engineering.Model Predictive Control (MPC) is everywhere-running chemical plants, stabilizing drones, optimizing HVAC systems, steering autonomous cars, and shaping the future of robotics and energy systems. Yet for many engineers, MPC still feels intimidating: too much math, too many assumptions, too many black¿box solvers.This book fixes that.Model Predictive Control Made Easy takes you from intuition to implementation with clarity rarely found in technical literature. Instead of drowning you in equations, it builds understanding step by step-starting with how you drive a car, and ending with how to design real¿time controllers that respect constraints, anticipate the future, and remain robust in the face of uncertainty.You'll learn:Why MPC works through simple, memorable analogiesHow to build prediction models using state¿space systemsHow horizons, costs, and constraints shape controller behaviorHow to tune Q, R, and terminal costs without guessworkHow to handle actuator limits, rate limits, and safety constraintsHow to design offset¿free MPC using disturbance modelsHow robust MPC and constraint tightening keep real systems safeWhy MPC reduces to LQR when constraints disappear-and why that mattersEvery chapter is written to be read by real engineers, not mathematicians. The explanations are crisp. The examples are practical. The insights come from real-world experience, not abstract theory.Whether you're working in robotics, automotive systems, process control, aerospace, or embedded systems, this book gives you the mental model and practical tools to design MPC controllers with confidence.If you've ever wanted MPC explained simply, clearly, and correctly-this is the book.

Taschenbuch. Condición: Neu. Model Predictive Control Made Easy | Alex Morgan | Taschenbuch | Englisch | 2026 | Alex Morgan | EAN 9788398079419 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.