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Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life cycle of process plants, there is always the typical conflict involving costs, time and quality. One way of resolving this conflict is to employ simulation technology as it can be used to answer questions relating to engineering and operation earlier and with...
Modern Process Control Systems (PCS) exhibit an increasing trend towards the pervasive adoption of commodity, off-the-shelf Information and Communication Technologies (ICT). This has brought significant economical and operational benefits, but it also shifted the architecture of PCS from a completely isolated environment to an open, “system of systems” integration with traditional ICT systems, susceptible...
This paper presents a method to determine the latency of memory instructions, aimed for use in WCET tools. We use a technique known as value analysis. Considering a processor with different data memory latencies, value analysis is used to determine the possible values of processor registers statically, allowing the recognition of memory addresses (main memory or ScratchPad Memory) in order to obtain...
Cyber-physical systems (CPS) integrate computation with physical processes. For the last years, CPS have been in the focus of research and are getting adopted in multiple domains like health care, automotive and smart factories. The use of CPS promises dynamic adaption of systems to changing environmental and economic conditions through autonomous CPS decisions based on the physical process. In industrial...
This paper presents an innovative design method of polynomial control laws by mean of pole placement which are actually smart solutions to many industrial applications. Even if this category of controllers is very popular in industry, most of their applications concern problems of constant reference signals. In this paper, we propose an indirect adaptive controller by fractional order pole placement,...
The implementation of the Extended Prediction Self-Adaptive Controller is presented in this paper. It employs LabVIEWTM graphical programming of industrial equipment and it is suitable for controlling fast processes. Three different systems are used for implementing the control algorithm. The research regarding the controller design using graphical programming demonstrates that a single advanced control...
This paper presents a self-learning strategy for an artificial cognitive control based on a reinforcement learning strategy, in particular, an on-line version of a Q-learning algorithm. One architecture for artificial cognitive control was initially reported in [1], but without an effective self-learning strategy in order to deal with nonlinear and time variant behavior. The anticipation mode (i.e...
The distance from academic research output to industrial implementation is often daunting, costly, and delays the return on research investment for industrial sponsors. Operational performance monitoring techniques, infrastructure and tools are of pivotal importance to efficient and effective process engineering plants, but new research output typically requires extensive development before deployment...
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