AUTOMATIZACIÓN Y CONTROL
Analysis and Synthesis of Fault-Tolerant Control Systems Por 
Analog Automation and Digital Feedback Control Techniques Por 
Analysis and Synthesis of Polynomial Discrete-Time Systems Por 
Economic Model Predictive Control Por
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 EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics. The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples. The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application. The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.
Hybrid Systems, Optimal Control and Hybrid Vehicles : Theory, Methods and Applications Por 
Recent Developments in Manufacturing Robotic Systems and Automation Por 
Marine Systems Identification, Modeling and Control Por 
Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information Por 
Distributed Model Predictive Control for Plant-Wide Systems Por 
Iterative Learning Control for Multi-Agent Systems Coordination Por 
Automation Challenges of Socio-Technical Systems Por 
Automation Solutions for Analytical Measurements Por 
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