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- Eduardo F. Camacho

Electronics and Electrical Engineering

Spain

2022

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
68
Citations
19,365
305
World Ranking
326
National Ranking
2

2022 - Research.com Electronics and Electrical Engineering in Spain Leader Award

2012 - IEEE Fellow For contributions to model predictive control and advanced control of solar systems

2008 - Fellow of the International Federation of Automatic Control (IFAC)

- Control theory
- Artificial intelligence
- Electrical engineering

His scientific interests lie mostly in Control theory, Model predictive control, Mathematical optimization, Control engineering and Control theory. His Control theory study frequently intersects with other fields, such as Bounded function. His Model predictive control study deals with the bigger picture of Control.

His Mathematical optimization study combines topics from a wide range of disciplines, such as Interval arithmetic, Linear system and Convex optimization. His Control engineering research incorporates themes from Process control, Dead time, Automatic control and Predictive controller. Eduardo F. Camacho combines subjects such as Scheme, Robot and Carima with his study of Control theory.

- Model Predictive Control (3714 citations)
- Generalized Predictive Control (923 citations)
- Model predictive control in the process industry (610 citations)

Control theory, Model predictive control, Mathematical optimization, Control theory and Control engineering are his primary areas of study. His Control theory study focuses mostly on Nonlinear system, Robust control, Robustness, Linear system and Control system. His work in Model predictive control addresses issues such as Bounded function, which are connected to fields such as State.

The Mathematical optimization study combines topics in areas such as Stability and Function. Eduardo F. Camacho is involved in the study of Control theory that focuses on Adaptive control in particular. Eduardo F. Camacho has included themes like Field, Automatic control, Dead time and Mobile robot in his Control engineering study.

- Control theory (50.90%)
- Model predictive control (45.49%)
- Mathematical optimization (22.44%)

- Control theory (50.90%)
- Model predictive control (45.49%)
- Control theory (21.84%)

Eduardo F. Camacho mainly focuses on Control theory, Model predictive control, Control theory, Mathematical optimization and Control. His research on Control theory often connects related topics like Pulse-width modulation. His Model predictive control research is multidisciplinary, incorporating perspectives in Set, Gain scheduling, Parabolic trough, Solar energy and Control engineering.

His work carried out in the field of Control theory brings together such families of science as Scheme and Lyapunov function. His Mathematical optimization research includes elements of Shapley value and Function. His Control research incorporates elements of Network topology, Structure, State and Protocol.

- Coalitional model predictive control of an irrigation canal (61 citations)
- Economic MPC for a Changing Economic Criterion for Linear Systems (54 citations)
- A coalitional control scheme with applications to cooperative game theory (49 citations)

- Control theory
- Artificial intelligence
- Electrical engineering

Eduardo F. Camacho mainly investigates Model predictive control, Control theory, Control theory, Mathematical optimization and Control. His Model predictive control research includes themes of Parabolic trough, Solar energy, Control engineering, Electric power and Renewable energy. His Control theory study combines topics in areas such as Pulse-width modulation and Linear model.

His studies in Control theory integrate themes in fields like Algorithm, Simulation, Lyapunov function and Queue. His Mathematical optimization research is multidisciplinary, incorporating elements of State, Linear system, Bounded function and Ellipsoid. His Control study incorporates themes from Cooperative game theory, Control system, Shapley value, Network topology and Scheme.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Model Predictive Control

Eduardo F Camacho;Carlos Bordons.

**(2012)**

5927 Citations

Generalized Predictive Control

Eduardo F. Camacho;Carlos Bordons.

**(2007)**

1497 Citations

Model predictive control in the process industry

Eduardo F. Camacho;Carlos A. Bordons.

**(1995)**

952 Citations

Control of dead-time processes

Julio Elias Normey-Rico;Eduardo Fernández Camacho.

**(2007)**

774 Citations

Brief Guaranteed state estimation by zonotopes

T. Alamo;J. M. Bravo;E. F. Camacho.

Automatica **(2005)**

484 Citations

Brief paper: MPC for tracking piecewise constant references for constrained linear systems

D. Limon;I. Alvarado;T. Alamo;E. F. Camacho.

Automatica **(2008)**

461 Citations

Constrained Model Predictive Control

E. F. Camacho;C. Bordons.

**(2007)**

384 Citations

Input-to-state stable MPC for constrained discrete-time nonlinear systems with bounded additive uncertainties

D.L. Marruedo;T. Alamo;E.F. Camacho.

conference on decision and control **(2002)**

347 Citations

Advanced control of solar plants

Eduardo F. Camacho;Manuel Berenguel;Francisco R. Rubio.

**(1997)**

329 Citations

Control of Solar Energy Systems

Eduardo F. Camacho;Manuel Berenguel.

**(2012)**

329 Citations

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