Economic Engineering for Supply Chain Management: Mitigating the Bullwhip Effect Using PID Control

The purpose of Supply Chain Management (SCM) is to maximize and stabilize the flow of goods through a supply chain. Disruptions to this flow, such as the Bullwhip Effect (BWE), have become increasingly severe and dynamic, challenging current methods for counteracting these disruptions. This thesis develops a systems and control framework for...

Neuroscience Perspectives on Adaptive Manual Control with Pursuit Displays

Cyberneticists develop mathematical human control models which are used to tune manual control systems and understand human performance limits. Neuroscientists explore the physiology and circuitry of the central nervous system to understand how the brain works. Both research human visuomotor control tasks, such as the pursuit tracking task....

System Safety and Artificial Intelligence

This chapter formulates seven lessons for preventing harm in artificial intelligence (AI) systems based on insights from the field of system safety for software-based automation in safety-critical domains. New applications of AI across societal domains and public organizations and infrastructures come with new hazards, which lead to new forms of...

Vehicle Dynamics Control Using Control Allocation

Advancement of the state of the art of automotive technologies is a continuous process. It is essential for automotive engineers to combine the knowledge of vehicle dynamics and control theory to develop useful applications that meet requirements of improved safety, comfort and performance. A road vehicle is equipped with several actuators that...

Privacy-Aware State Estimation based on Obfuscated Transformation and Differential Privacy: With applications to smart grids and supply chain economics

With the emergence of many modern automated systems around us that rely heavily on the private data collected from individuals, the problem of privacy-preserving data analysis is now gaining a significant attention in the field of systems and control. In this thesis, we investigate the privacy concerns of these systems arising in the process of...

Haptic guidance on demand: A grip-force based scheduling of guidance forces

In haptic shared control systems (HSC), a fixed strength of guidance force equates to a fixed level of control authority, which can be insufficient for complex tasks. An adaptable control authority based on operator input can allow the HSC system to better assist the operator under varied conditions. In this paper, we experimentally...

Controlled reefers in the banana supply chain: energy reduction and quality preservation

Bananas are the fourth most eaten product in the world. In Europe almost 4 million tonnes of bananas are consumed every year. These bananas need to be imported from plantations in, among others, Latin America. Due to the perishable nature of bananas the transport from plantation to Europe is done in cooled reefer containers. During transport the...

Optimizing Workability of a Motion Compensated Crane by Studying Residual Motion Behaviour

Estimation and control of large-scale systems with an application to adaptive optics for EUV lithography

Extreme UltraViolet (EUV) lithography is a new technology for production of integrated circuits. In EUV lithographic machines, optical elements are heated by absorption of exposure energy. Heating induces thermoelastic deformations of optical elements and consequently, it creates wavefront aberrations. These Thermally Induced Wavefront...

Identification of wind energy systems

In the next decades wind energy is expected to secure a firm share of the total energy production capacity in many countries. To increase competitiveness of wind power with other power sources it is essential to lower the cost of wind energy. Given the design of a turbine, this objective can be attained in several ways, for instance by...

A systems description of flow through porous media

This text forms part of material taught during a course in advanced reservoir simulation at Delft University of Technology over the past 10 years. The contents have also been presented at various short courses for industrial and academic researchers interested in background knowledge needed to perform research in the area of closed-loop...

Linear Parameter Varying Modeling of a High-Purity Distillation Column

One of the main reasons for the success story of Proportional-Integral-Derivative (PID) control in process industries has been the difficulty and complexity of modeling chemical, thermal, and physical phenomena in these systems. Linear Time-Invariant (LTI) identification has been found incapable to accurately capture the dynamics in these...

Physical Modelling for Systems and Control: Lecture Notes Course sc4032, 2009-2010

In these notes the formulation of models is aimed at obtaining a description of the dynamic behaviour of processes under transient conditions. This implies that we will formulate the equations of motion of the process variables that describe the evolution of the process as a function of time. Our models will formulate the process dynamics in a...

System-Theoretical Model Reduction for Reservoir Simulation and optimization

This thesis is concerned with low-order modelling of heterogeneous reservoir systems for the purpose of efficient simulation and optimization of flooding processes with multiple injection and production (smart) wells. Typically, one is initially equipped with a physics-based ('white-box') model consisting of O(103-106) equations and parameters...

Model-based lifecycle optimization of well locations and production settings in petroleum reservoirs

The coming years there is a need to increase production from petroleum reservoirs, and there is an enormous potential to do so by increasing the recovery factor. This is possible by making better use of recent technological developments, such as horizontal wells, downhole valves and sensors. However, actually making better use of these improved...