Valeriy Vyatkin

Valeriy Vyatkin
Aalto University · Department of Electrical Engineering and Automation

Dr. Sc.

About

540
Publications
203,541
Reads
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9,912
Citations
Additional affiliations
January 2005 - April 2014
University of Auckland
Position
  • Professor (Associate)
July 2012 - present
University of Cambridge
Position
  • Professor
Description
  • http://www.ifm.eng.cam.ac.uk/people/vv263/
January 2005 - December 2010
University of Auckland

Publications

Publications (540)
Conference Paper
Full-text available
In this paper, we propose a cloud-based virtual commissioning Web platform for IEC 61499 compliant distributed automation systems that support Create-Read-Update-Delete operations for SoftPLC containers from various versions and provide a remote engineering workstation with an embedded web Integrated Development Environment (IDE), Human Machine Int...
Article
Full-text available
The green energy transition threatens stability of the power grid due to associated reduction in grid synchronous inertia. Primary frequency control (PFC) can compensate for the challenge; however, sufficient procurement of primary frequency capacity could depend on more extensive employment of demand-side loads for PFC. Ventilation fans in particu...
Article
The world is facing a series of new societal and industrial challenges, such as continuously increasing costs in food and energy supply and a short supply of skilled labor. To solve these new challenges, operation, information, and communication technology is entering a new era with more focus targeted to cost reduction and energy savings. In this...
Conference Paper
Full-text available
This paper presents progress in the development of a virtual commissioning environment for the validation of intelligent mechatronic systems with the following properties: 1) decentralised control architecture without a master controller, 2) open programmability based on the IEC 61499 standard, and 3) heterogeneous wired/wireless communication arch...
Article
Subsurface flow is the core of reservoir engineering. Research on subsurface flow problems can enhance our understanding of the development status of oilfields, thus enabling the prediction of the distribution of residual oil and the formulation of production plans. Machine learning-based methods have been widely studied in developing data-driven m...
Article
Full-text available
Information is a key component of progress. Industry 4.0, and especially the future Industry 5.0, is closely related to the topic of the Digital Twin, where virtual components interact with each other. The main advantage of such a system is that it can fully mimic the behaviour of the complicated system, including various unexpected perturbations s...
Article
Full-text available
This paper proposes a method for the automatic generation of a plant model and monitor using process mining algorithms based on recorded event logs. The behavioral traces of the system are captured by recording event logs during plant operation in either manual control mode or with an automatic controller. Process discovery algorithms are then appl...
Article
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The design of safety-critical cyber-physical systems requires a rigorous check of their operation logic, as well as an analysis of their overall instrumentation and control (I&C) architectures. In this paper, we focus on the latter and use formal verification methods to reason about the correctness of an I&C architecture represented with an ontolog...
Article
The increasing demand for flexibility in factory automation has led to the need for high interoperability among controllers, sensors, and actuators. This article demonstrates how the interoperability provisions developed by the Open Process Automation Standard (OPAS) can be used to improve the interchangeability and interoperability of controller f...
Conference Paper
Full-text available
We present a methodology for measuring and increasing labor productivity using data collection and its analysis for optimizing production task management. Presented socio-cyber-physical system architecture and its technical implementation comprises a decision-making system that is integrated with a collaborative automated manufacturing system. This...
Chapter
This paper summarises recent developments in the application of modular formalisms to model-based verification of industrial automation systems. The paper is a tribute to the legacy of Professor Hans-Michael Hanisch who invented Net Condition/Event Systems (NCES) and passionately promoted the closed-loop modelling approach to modelling and analysis...
Preprint
Full-text available
This paper presents a methodology for increasing human-centric production systems flexibility using human factors-enabled digital twins. The paper includes an analysis of the relevant projects that incorporate human-related data collection and processing. The proposed system is capable of collecting human factors-related data from various sources a...
Article
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Data centres are becoming an increasingly important part of our society’s infrastructure. The number of data centres is growing constantly, making growing the gross level of electrical energy consumption. At the same time, the rapid spread of sophisticated electrical devices as well as other automation systems in general produces an opportunity for...
Article
Full-text available
Automation systems within nuclear laboratories are intended to work under harsh operating conditions. SPES (Selective Production of Exotic Species) is a nuclear research facility currently under construction by INFN (Istituto Nazionale di Fisica Nucleare), dedicated to the production and study of Radioactive Ion Beams (RIBs). Isotopes are produced...
Article
Strip rolling is a typical manufacturing process, in which conventional control approaches are widely applied. Development of the control algorithms requires a mathematical expression of the process by means of the first principles or empirical models. However, it is difficult to upgrade the conventional control approaches in response to the ever-ch...
Article
Full-text available
In the Software Development Life Cycle (SDLC), Development and Operations (DevOps) has been proven to deliver reliable, scalable software within a shorter time. Due to the explosion of Machine Learning (ML) applications, the term Machine Learning Operations (MLOps) has gained significant interest among ML practitioners. This paper explains the DevO...
Article
Full-text available
Battery storage is emerging as a key component of intelligent green electricitiy systems. The battery is monetized through market participation, which usually involves bidding. Bidding is a multi-objective optimization problem, involving targets such as maximizing market compensation and minimizing penalties for failing to provide the service and c...
Article
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Reinforcement learning has emerged as a potentially disruptive technology for control and optimization of HVAC systems. A reinforcement learning agent takes actions, which can be direct HVAC actuator commands or setpoints for control loops in building automation systems. The actions are taken to optimize one or more targets, such as indoor air qual...
Article
A Virtual power plant is defined as an information and communications technology system with the following primary functionalities: enhancing renewable power generation, aggregating Distributed Energy Resources and monetizing them considering the relevant energy contracts or markets. A virtual power plant also includes secondary functionalities suc...
Article
Recent technological advances and manufacturing paradigm evolutions in industrial settings will dramatically increase the complexity of automation control systems. Traditional solutions to the software development of low-level control kernels (e.g., numerical control kernel, motion control kernel, and real-time communication tasks) are unable to co...
Article
This paper presents an example of a systematic approach based on domain-specific languages to implement Function Blocks Modelling Environment (FBME): an integrated development environment (IDE) for the international standard IEC 61499. The new open development environment for the standard of growing importance in the Industry 4.0 realm would contri...
Article
Full-text available
The transition to renewable production and smart grids is driving a massive investment to battery storages, and reinforcement learning (RL) has recently emerged as a potentially disruptive technology for their control and optimization of battery storage systems. A surge of papers has appeared in the last two years applying reinforcement learning to...
Article
Full-text available
Digital twins are now one of the top trends in Industry 4.0, and many companies are using them to increase their level of digitalization, and, as a result, their productivity and reliability. However, the development of digital twins is difficult, expensive, and time consuming. This article proposes a semi-automated methodology to generate digital...
Article
Full-text available
The wide propagation of electric vehicle (EV) charging infrastructure integrated into the energy distribution network poses numerous challenges for the engineering and control of the latter: the load dynamic characteristics become more unsteady, requiring more advanced control, predictions, and virtual commissioning. One step toward automation of t...
Article
Full-text available
Datacentres are becoming a sizable part of the energy system and are one of the biggest consumers of the energy grid. The so-called Green Datacentre is capable of not only consuming but also producing power, thus becoming an important kind of prosumers in the electric grid. Green datacentres consist of a microgrid with a backup uninterrupted power...
Article
Full-text available
Component-Design Architecture has been in demand based on the growing needs for modularity and flexibility in the automation industry. IEC 61499 standard, a component-based automation architecture, provides various tools and techniques for automation developers to accommodate the need for flexibility in automation sequences. However, the adapter co...
Preprint
Full-text available
Making an updated and as-built model plays an important role in the life-cycle of a process plant. In particular, Digital Twin models must be precise to guarantee the efficiency and reliability of the systems. Data-driven models can simulate the latest behavior of the sub-systems by considering uncertainties and life-cycle related changes. This pap...
Article
Full-text available
A significant body of research has emerged for adapting diverse intelligent distributed energy resources to provide primary frequency reserves (PFR). However, such works are usually vague about the technical specifications for PFR. Industrial practitioners designing systems for PFR markets must pre-qualify their PFR resources against the specificat...
Conference Paper
Full-text available
The capabilities of dynamicity, flexibility and agile production are enablers to Smart Factory and Industry 4.0. One critical feature to achieve these capabilities is to achieve efficient deployment optimization for automation control applications. However, many factories have used control applications implemented using IEC 61131 rather than IEC 61...