Advances in Industrial Control - Böcker

Tandem Cold Metal Rolling Mill Control

Using Practical Advanced Methods

Control of Integral Processes with Dead Time

Control and Monitoring of Chemical Batch Reactors

Networked and Distributed Predictive Control

Methods and Nonlinear Process Network Applications

Unmanned Rotorcraft Systems

Fault Detection and Fault-Tolerant Control Using Sliding Modes

Control of Solar Energy Systems

Industrial Process Identification and Control Design

Step-test and Relay-experiment-based Methods

Adaptive Internal Model Control

Nonlinear Identification and Control

A Neural Network Approach

Optimisation of Industrial Processes at Supervisory Level

Application to Control of Thermal Power Plants

Digital Controller Implementation and Fragility

A Modern Perspective

Strategies for Feedback Linearisation

A Dynamic Neural Network Approach

Robust Control of Diesel Ship Propulsion

Hydraulic Servo-systems

Modelling, Identification and Control

Robust Autonomous Guidance

An Internal Model Approach

Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Identification and Control of Sheet and Film Processes

Performance Assessment of Control Loops

Theory and Applications

Data Mining and Knowledge Discovery for Process Monitoring and Control

Control and Instrumentation for Wastewater Treatment Plants

Modelling and Identification in Robotics

Bounded Dynamic Stochastic Systems

Modelling and Control

Price-Based Commitment Decisions in the Electricity Market

Nonlinear Model-based Process Control

Applications in Petroleum Refining

Adaptive Control with Recurrent High-order Neural Networks

Theory and Industrial Applications

Feedback Control Theory for Dynamic Traffic Assignment

Radiotherapy Treatment Planning

New System Approaches

Compressor Surge and Rotating Stall

Modeling and Control