Nonlinear analysis of the effect of maintenance in continuous cell cultures
Mathematics and Computers in Simulation
GA-based PID active queue management control design for a class of TCP communication networks
Expert Systems with Applications: An International Journal
Reliable decentralized PID controller synthesis for two-channel MIMO processes
Automatica (Journal of IFAC)
IEEE Transactions on Fuzzy Systems
Experimental evaluation of linear model based control strategies for PEMFCs
ACC'09 Proceedings of the 2009 conference on American Control Conference
An augmented multiple model strategy for disturbance estimation and control
ACC'09 Proceedings of the 2009 conference on American Control Conference
Delay-dependent stability criteria for LTI systems with multiple time delays
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
The model predictive control system for the fluid catalytic cracking unit
CONTROL'10 Proceedings of the 6th WSEAS international conference on Dynamical systems and control
Chemical analog computers for clock frequency control based on p modules
CMC'11 Proceedings of the 12th international conference on Membrane Computing
Model-based fault detection and isolation of a liquid-cooled frequency converter on a wind turbine
Journal of Control Science and Engineering
Estimation of domains of attraction: A global optimization approach
Mathematical and Computer Modelling: An International Journal
Dynamic analysis and control of sieve tray gas absorption column using MATALB and SIMULINK
Applied Soft Computing
CMC'12 Proceedings of the 13th international conference on Membrane Computing
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Master process control hands on, through practical examples and MATLAB(R) simulationsThis is the first complete introduction to process control that fully integrates software tools-enabling professionals and students to master critical techniques hands on, through computer simulations based on the popular MATLAB environment. Process Control: Modeling, Design, and Simulation teaches the field's most important techniques, behaviors, and control problems through practical examples, supplemented by extensive exercises-with detailed derivations, relevant software files, and additional techniques available on a companion Web site. Coverage includes: Fundamentals of process control and instrumentation, including objectives, variables, and block diagrams Methodologies for developing dynamic models of chemical processes Dynamic behavior of linear systems: state space models, transfer function-based models, and more Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis Frequency response analysis techniques for evaluating the robustness of control systems Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhancements to improve disturbance rejection Split-range, selective, and override strategies for switching among inputs or outputs Control loop interactions and multivariable controllers An introduction to model predictive control (MPC)Bequette walks step by step through the development of control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. The book also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve several key control problems, ranging from robustness analyses to biochemical reactors, biomedical problems to multivariable control.