Carlos Bordons's Books

Model Predictive Control of Microgrids

By: Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao

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Model Predictive Control of Microgrids

By: Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao

The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC). It gives readers a wide overview of control methods for microgrid operation at all levels, ranging from quality of service, to integration in the electricity market. MPC-based solutions are provided for the main control issues related to energy management and optimal operation of microgrids. The authors present MPC techniques for case studies that include different renewable sources – mainly photovoltaic and wind – as well as hybrid storage using batteries, hydrogen and supercapacitors. Experimental results for a pilot-scale microgrid are also presented, as well as simulations of scheduling in the electricity market and integration of electric and hybrid vehicles into the microgrid. in order to replicate the examples provided in the book and to develop and validate control algorithms on existing or projected microgrids. Model Predictive Control of Microgrids will interest researchers and practitioners, enabling them to keep abreast of a rapidly developing field. The text will also help to guide graduate students through processes from the conception and initial design of a microgrid through its implementation to the optimization of microgrid management. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

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Page Count

280

Publisher

Springer Nature

Published Date

ISBN 10

3030245705

ISBN 13

9783030245702

Model Predictive Control

By: Carlos Bordons Alba

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Model Predictive Control

By: Carlos Bordons Alba

The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.

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Page Count

290

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447133986

ISBN 13

9781447133988

Model Predictive Control

By: Eduardo F. Camacho,Carlos Bordons Alba

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Model Predictive Control

By: Eduardo F. Camacho,Carlos Bordons Alba

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Page Count

405

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Springer Science & Business Media

Published Date

ISBN 10

0857293982

ISBN 13

9780857293985

Model Predictive Control in the Process Industry

By: Eduardo F. Camacho,Carlos A. Bordons

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Model Predictive Control in the Process Industry

By: Eduardo F. Camacho,Carlos A. Bordons

Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

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Page Count

250

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447130081

ISBN 13

9781447130086

Model Predictive Control of Wastewater Systems

By: Carlos Ocampo-Martinez

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Model Predictive Control of Wastewater Systems

By: Carlos Ocampo-Martinez

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ..., new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The water and wastewater industry has undergone many changes in recent years. Of particular importance has been a renewed emphasis on improving resource management with tighter regulatory controls setting new targets on pricing, industry efficiency and loss reduction for both water and wastewater with more stringent environmental discharge conditions for wastewater. Meantime, the demand for water and wastewater services grows as the population increases and wishes for improved living conditions involving, among other items, domestic appliances that use water. Consequently, the installed infrastructure of the industry has to be continuously upgraded and extended, and employed more effectively to accommodate the new demands, both in throughput and in meeting the new regulatory conditions. Investment in fixed infrastructure is capital-intensive and slow to come on-stream. One outcome of these changes and demands is that the industry is examining the potential benefits of, and in many cases using, more advanced control systems.

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Page Count

236

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1849963533

ISBN 13

9781849963534

Model Predictive Control of Microgrids

By: Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao

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Model Predictive Control of Microgrids

By: Carlos Bordons,Félix Garcia-Torres,Miguel A. Ridao

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Page Count

280

Publisher

Springer Nature

Published Date

ISBN 10

3030245705

ISBN 13

9783030245702

Model Predictive Control

By: Eduardo F. Camacho,Carlos Bordons Alba

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Model Predictive Control

By: Eduardo F. Camacho,Carlos Bordons Alba

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Page Count

405

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0857293982

ISBN 13

9780857293985

Model Predictive Control

By: Carlos Bordons Alba

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Model Predictive Control

By: Carlos Bordons Alba

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Page Count

290

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1447133986

ISBN 13

9781447133988

Model Predictive Control in the Process Industry

By: Eduardo F. Camacho,Carlos A. Bordons

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Model Predictive Control in the Process Industry

By: Eduardo F. Camacho,Carlos A. Bordons

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Page Count

250

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Springer Science & Business Media

Published Date

ISBN 10

1447130081

ISBN 13

9781447130086

Model Predictive Control

By: Paul Williams,Venkateswarlu Ch

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Model Predictive Control

By: Paul Williams,Venkateswarlu Ch

Modern computing technology allows the real-time generation of optimal trajectories for tethered satellites. An architecture that implements a closed-loop controller with a nonlinear state estimator using a subset of available measurements has been demonstrated for accurately deploying a tether for a rendezvous application. This strategy allows the controller to adapt to large disturbances by recalculating the entire trajectory to satisfy the mission requirements, rather than trying to force the system back to a reference trajectory computer offline.

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Page Count

304

Published Date

ISBN 10

9533071028

ISBN 13

9789533071022

Book's by Carlos Bordons

Model Predictive Control of Microgrids

Model Predictive Control of Microgrids

Model Predictive Control

Model Predictive Control

Model Predictive Control

Model Predictive Control

Model Predictive Control in the Process Industry

Model Predictive Control in the Process Industry

Model Predictive Control of Wastewater Systems

Model Predictive Control of Wastewater Systems

Model Predictive Control of Microgrids

Model Predictive Control of Microgrids

Model Predictive Control

Model Predictive Control

Model Predictive Control

Model Predictive Control

Model Predictive Control in the Process Industry

Model Predictive Control in the Process Industry

Model Predictive Control

Model Predictive Control

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