Safety as Airline Business Aspect: From Data to Action by A Value Model for Big Data and Feedback Method for Small FlightStories

This thesis proposes the of integrating safety, economics, and passenger experience and draws on the author's research and experience in aviation to develop a more comprehensive approach to airline business management. The research closes the gap between business and Safety Management Systems in airlines by introducing two novel and...

Cyber-Physical Testbed Co-simulation Real-Time: Normal and Abnormal System Frequency Response

Future carbon-neutral power systems impose many challenges; one is the urgent need for a simulation platform that allows replicating the complex systems’ actual dynamic performance. This paper shows the results of implementing a cyber-physical testbed co-simulation in real-time to analyse the system frequency response considering primary...

Probabilistic Perspective on Compensatory, Pursuit and Preview Manual Control

Mathematical human control models are widely used in tuning manual control systems and understanding human performance. Human behavior is commonly described using linear time-invariant models, averaging-out all non-linear and time-varying effects, which are gathered into the remnant. These models are limited in their capability to capture...

Cybernetic Data Augmentation for Neural Network Classification of Control Skills

Mathematical human controller (HC) models are widely used in tuning manual control systems and for understanding human performance. Typically, quasi-linear HC models are used, which can accurately capture the linear portion of HCs' behavior, averaged over a long measurement window. This paper presents a deep learning HC skill-level evaluation...

Predicting Human Control Adaptation from Statistical Variations in Tracking Error and Error Rate

This paper presents the results of an experiment that was performed to verify the 'supervisory control algorithm', a well-known model of human operator adaptation to changes in controlled element dynamics. This model proposes that human adaptive behavior is triggered once the magnitudes of the tracking error or error rate exceed certain...

Designing Data-informed Intelligent Systems to Create Positive Impact: Design Methods, Questions and Recommendations

This paper explores several approaches for designing data-informed intelligent systems to create a positive impact. Two contrasting case studies in K12 education are used to illustrate design methods, questions and recommendations. The first case study addresses the poverty achievement gap in America and shows how product data can be used to...

UKF-based Identification of Time-Varying Manual Control Behaviour

This paper describes a novel method for time-varying identification of Human Controller (HC) manual control parameters (called UKF-FPV), based on a steady-state (constant state covariance) Unscented Kalman Filter (UKF). This approach requires no a priori assumptions on the shape of HC parameter variations, which is a potential advantage over...

Manual Control with Pursuit Displays: New Insights, New Models, New Issues

Mathematical control models are widely used in tuning manual control systems and understanding human performance. The most common model, the crossover model, is severely limited, however, in describing realistic human control behaviour in relevant control tasks as it is only valid for tracking with a compensatory display. This paper first...

Theatrical Performance as Experimental Architecture

This paper discusses by way of the authors' recent projects how improvised live<br/>dance performance, architectonic composition, and sensing technology converge and inform new opportunities in architectural experimentation. We first lay out the theoretical basis of technology in architectural experimentation in "new rationalities" of...

Manual control cybernetics: State-of-the-art and current trends

Manual control cybernetics aims to understand and describe how humans control vehicles and devices using mathematical models of human control dynamics. This &amp;#x201C;cybernetic approach&amp;#x201D; enables objective and quantitative comparisons of human behavior, and allows a systematic optimization of human control interfaces and training...

Symbolic method for deriving policy in reinforcement learning

This paper addresses the problem of deriving a policy from the value function in the context of reinforcement learning in continuous state and input spaces. We propose a novel method based on genetic programming to construct a symbolic function, which serves as a proxy to the value function and from which a continuous policy is derived. The...

A Cybernetic Approach to Assess the Longitudinal Handling Qualities of Aeroelastic Aircraft

The future demand for larger and lighter civil transport aircraft leads to more flexible aircraft, which bring their own controlling and handling problems. A review of established handling qualities methods showed that they were either unsuitable for aeroelastic aircraft, or had significant disadvantages. After consideration of the basic...