Design of a multi-processor control systems

DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

Comparison of a preferred and actual method of selecting and implementing computerised control systems in a manufacturing environment

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Institutional contradiction and management control innovation:a field study of total quality management practices in a privatised telecommunications company

The purpose of this paper is to theorise the changes surrounding the introduction of a management control innovation, total quality management (TQM) techniques, within Telecom Fiji Limited. Using institutional theory and drawing on empirical evidence from multiple sources including interviews, discussions and documents, the paper explicates the institutionalization of these TQM practices. The focus of the paper is the micro-processes and practice changes around TQM implementation, rather than the influence of the macro-level structures that are often linked with institutional theory. The change agents used Quality Action Teams and the National Quality Council to introduce new TQM routines. The present study extends the scope of institutional analysis by explaining how institutional contradictions impact to create and make space for institutional entrepreneurs, who in turn, modify existing routines or introduce new routines in fluid organizational environments which also exhibit evidence of resistance.

Fully probabilistic control for stochastic nonlinear control systems with input dependent noise

Robust controllers for nonlinear stochastic systems with functional uncertainties can be consistently designed using probabilistic control methods. In this paper a generalised probabilistic controller design for the minimisation of the Kullback-Leibler divergence between the actual joint probability density function (pdf) of the closed loop control system, and an ideal joint pdf is presented emphasising how the uncertainty can be systematically incorporated in the absence of reliable systems models. To achieve this objective all probabilistic models of the system are estimated from process data using mixture density networks (MDNs) where all the parameters of the estimated pdfs are taken to be state and control input dependent. Based on this dependency of the density parameters on the input values, explicit formulations to the construction of optimal generalised probabilistic controllers are obtained through the techniques of dynamic programming and adaptive critic methods. Using the proposed generalised probabilistic controller, the conditional joint pdfs can be made to follow the ideal ones. A simulation example is used to demonstrate the implementation of the algorithm and encouraging results are obtained.

Probabilistic DHP adaptive critic for nonlinear stochastic control systems

Following the recently developed algorithms for fully probabilistic control design for general dynamic stochastic systems (Herzallah & Káarnáy, 2011; Kárný, 1996), this paper presents the solution to the probabilistic dual heuristic programming (DHP) adaptive critic method (Herzallah & Káarnáy, 2011) and randomized control algorithm for stochastic nonlinear dynamical systems. The purpose of the randomized control input design is to make the joint probability density function of the closed loop system as close as possible to a predetermined ideal joint probability density function. This paper completes the previous work (Herzallah & Kárnáy, 2011; Kárný, 1996) by formulating and solving the fully probabilistic control design problem on the more general case of nonlinear stochastic discrete time systems. A simulated example is used to demonstrate the use of the algorithm and encouraging results have been obtained.

Enhancing the performance of intelligent control systems in the face of higher levels of complexity and uncertainty

Modern advances in technology have led to more complex manufacturing processes whose success centres on the ability to control these processes with a very high level of accuracy. Plant complexity inevitably leads to poor models that exhibit a high degree of parametric or functional uncertainty. The situation becomes even more complex if the plant to be controlled is characterised by a multivalued function or even if it exhibits a number of modes of behaviour during its operation. Since an intelligent controller is expected to operate and guarantee the best performance where complexity and uncertainty coexist and interact, control engineers and theorists have recently developed new control techniques under the framework of intelligent control to enhance the performance of the controller for more complex and uncertain plants. These techniques are based on incorporating model uncertainty. The newly developed control algorithms for incorporating model uncertainty are proven to give more accurate control results under uncertain conditions. In this paper, we survey some approaches that appear to be promising for enhancing the performance of intelligent control systems in the face of higher levels of complexity and uncertainty.

Control Systems with Constraints and Uncertain Initial Conditions

AMS subject classification: 49N55, 93B52, 93C15, 93C10, 26E25.

Ethics In The Hospitality Industry: A Management Control System Perspective

Hospitality managers may assume that unless under control, ethics in their operations are out of control. This article proposes a management control system for ethics.

Optimal control of affine connection control systems from the point of view of Lie algebroids

The purpose of this paper is to use the framework of Lie algebroids to study optimal control problems for affine connection control systems (ACCSs) on Lie groups. In this context, the equations for critical trajectories of the problem are geometrically characterized as a Hamiltonian vector field.

Approaches to Aquatic Invasive Species Integrated Pest Management Control and Common ID

This PowerPoint presentation goes over the ways in which aquatics pest and weeds can be controlled.

A pointwise constrained version of the Liapunov convexity theorem for vectorial linear first-order control systems

We generalize the Liapunov convexity theorem's version for vectorial control systems driven by linear ODEs of first-order p = 1 , in any dimension d ∈ N , by including a pointwise state-constraint. More precisely, given a x ‾ ( ⋅ ) ∈ W p , 1 ( [ a , b ] , R d ) solving the convexified p-th order differential inclusion L p x ‾ ( t ) ∈ co { u 0 ( t ) , u 1 ( t ) , … , u m ( t ) } a.e., consider the general problem consisting in finding bang-bang solutions (i.e. L p x ˆ ( t ) ∈ { u 0 ( t ) , u 1 ( t ) , … , u m ( t ) } a.e.) under the same boundary-data, x ˆ ( k ) ( a ) = x ‾ ( k ) ( a ) & x ˆ ( k ) ( b ) = x ‾ ( k ) ( b ) ( k = 0 , 1 , … , p − 1 ); but restricted, moreover, by a pointwise state constraint of the type 〈 x ˆ ( t ) , ω 〉 ≤ 〈 x ‾ ( t ) , ω 〉 ∀ t ∈ [ a , b ] (e.g. ω = ( 1 , 0 , … , 0 ) yielding x ˆ 1 ( t ) ≤ x ‾ 1 ( t ) ). Previous results in the scalar d = 1 case were the pioneering Amar & Cellina paper (dealing with L p x ( ⋅ ) = x ′ ( ⋅ ) ), followed by Cerf & Mariconda results, who solved the general case of linear differential operators L p of order p ≥ 2 with C 0 ( [ a , b ] ) -coefficients. This paper is dedicated to: focus on the missing case p = 1 , i.e. using L p x ( ⋅ ) = x ′ ( ⋅ ) + A ( ⋅ ) x ( ⋅ ) ; generalize the dimension of x ( ⋅ ) , from the scalar case d = 1 to the vectorial d ∈ N case; weaken the coefficients, from continuous to integrable, so that A ( ⋅ ) now becomes a d × d -integrable matrix; and allow the directional vector ω to become a moving AC function ω ( ⋅ ) . Previous vectorial results had constant ω, no matrix (i.e. A ( ⋅ ) ≡ 0 ) and considered: constant control-vertices (Amar & Mariconda) and, more recently, integrable control-vertices (ourselves).

Industrial Demilitarized Zone and Zero Trust cybersecurity models for Industrial Control Systems

Today more than ever, with the recent war in Ukraine and the increasing number of attacks that affect systems of nations and companies every day, the world realizes that cybersecurity can no longer be considered just as a “cost”. It must become a pillar for our infrastructures that involve the security of our nations and the safety of people. Critical infrastructure, like energy, financial services, and healthcare, have become targets of many cyberattacks from several criminal groups, with an increasing number of resources and competencies, putting at risk the security and safety of companies and entire nations. This thesis aims to investigate the state-of-the-art regarding the best practice for securing Industrial control systems. We study the differences between two security frameworks. The first is Industrial Demilitarized Zone (I-DMZ), a perimeter-based security solution. The second one is the Zero Trust Architecture (ZTA) which removes the concept of perimeter to offer an entirely new approach to cybersecurity based on the slogan ‘Never Trust, always verify’. Starting from this premise, the Zero Trust model embeds strict Authentication, Authorization, and monitoring controls for any access to any resource. We have defined two architectures according to the State-of-the-art and the cybersecurity experts’ guidelines to compare I-DMZ, and Zero Trust approaches to ICS security. The goal is to demonstrate how a Zero Trust approach dramatically reduces the possibility of an attacker penetrating the network or moving laterally to compromise the entire infrastructure. A third architecture has been defined based on Cloud and fog/edge computing technology. It shows how Cloud solutions can improve the security and reliability of infrastructure and production processes that can benefit from a range of new functionalities, that the Cloud could offer as-a-Service.We have implemented and tested our Zero Trust solution and its ability to block intrusion or attempted attacks.

Aplicação do Balanced Scorecard no Ramo Hoteleiro : Diferenças entre hotéis de 5 estrelas Portugueses e Espanhóis

Mestrado em Controlo de Gestão e dos Negócios

Sistemas de controlo de gestão, empreendedorismo corporativo, estratégia e performance : contraste entre empresas familiares e não familiares

Mestrado em Contabilidade, Fiscalidade e Finanças Empresariais

Tytäryhtiöiden konserniohjaus ja -valvonta kuntakonsernin riskienhallinnassa Case: Imatran kaupunki

Tutkimuksen päätavoitteena olianalysoida Imatran kaupungin konserniohjausta ja -valvontaa tytäryhtiöihin liittyvien riskien hallitsemiseksi. Tavoitteen saavuttamiseksi tutkittiin tytäryhtiöiden konserniohjausta ja sisäistä valvontaa sekä tytäryhtiöihin liittyviä riskejä Imatran kaupunkikonsernissa. Jotta tutkimustavoite saavutettiin alatavoitteina selvitettiin konsernin, konserniohjauksen, sisäisen valvonnan, riskin ja riskienhallinnan käsitteitä sekä yleisesti että kuntaympäristössä. Lisäksi selvitettiin tutkimuksen teoreettisena viitekehyksenä käytettävää COSO-mallia. Tutkimusaineisto jakautui teoreettiseen ja empiiriseen aineistoon. Tutkimuksen teoreettista osuutta varten käytettiinaiheeseen liittyvää kirjallisuutta ja tutkimuksia. Empiirinen aineisto kerättiin haastatteluin ja organisaation tuottamia dokumentteja tutkien. Haastattelut toteutettiin teemahaastatteluina. Tutkimusstrategialtaan tutkimus oli tapaustutkimus (case study), joka tutkii olemassa olevan Imatra-konsernintytäryhtiöiden konserniohjausta ja - valvontaa. Tutkimuksessa analysoitiin yksityiskohtaista ja intensiivistä tietoa konsernin emon näkökulmasta. Todellista elämää kuvaavana tutkimus voidaan luokitella myös kvalitatiiviseksi eli laadulliseksi tutkimukseksi. Tutkimuksen perusteella voin todeta, että kaupunginhallituksen asettamat päämäärät ja tavoitteet ovat Tiian yleisiä ja jäävät konsernitasolle, joten niiden ohjausvaikutus tytäryhtiöihin ei ole kovin suuri. Tytäryhtiöiden heikosta tavoitteiden muotoilusta johtuen myös tytäryhtiöidentarkoituksenmukaisuuden ja tehokkuuden valvonta on vähäistä. Sen sijaan tytäryhteisöjen taloudellisten raporttien luotettavuus, lakien ja sääntöjen noudattaminen tulee valvottua tilintarkastusten yhteydessä. Lisäksi sisäisen tarkastuksen resurssien vähäisyyden vuoksi yksikön suorittama tytäryhtiöiden sisäisen valvonnan ja riskienhallinnan arviointi on olematonta. Myös riskienhallinnan kannalta tavoitteiden asettaminen on ollut liian suurpiirteistä ja irrallaan tytäryhtiöiden toiminnasta. Lisäksi haastattelujen mukaan sekä riskikäsite että riskienhallinnan käsite nähdään aivan liian suppeina. Ohjauksen, valvonnan sekä riskienhallinnan kannalta olisi tärkeää, että konsernin tavoitteiden asettamisen jälkeen myös tytäryhtiöille asetettaisiin selkeät mitattavat tavoitteet, joilla on yhteys kaupungin strategioihin. Tulisi myös varmistaa, että konsernissa ja sen tytäryhtiöissä on jatkuva riskien tunnistamistoiminto. Suositeltavaa on, että Imatra-konsernissa käynnistetään kokonaisvaltainen riskienhallintaprosessi.