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Books on the topic 'Predictive functional control'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Richalet, Jacques, and Donal O'Donovan. Predictive Functional Control. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-493-5.

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2

Donal, O'Donovan, ed. Predictive functional control: Principles and industrial applications. Springer, 2009.

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3

Christofides, Panagiotis D. Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications. Springer-Verlag London Limited, 2011.

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4

Zhang, Xin, Jinsong He, Hao Ma, Zhixun Ma, and Xiaohai Ge. Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7191-4.

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5

Manning, Carol A. Prediction of seccess [i.e., success] in FAA air traffic control field training as a function of selection and screening test performance. Office of Aviation Medicine, Federal Aviation Administration, 1989.

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6

Manning, Carol A. Prediction of seccess [i.e., success] in FAA air traffic control field training as a function of selection and screening test performance. Office of Aviation Medicine, Federal Aviation Administration, 1989.

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7

Kazakova, Nataliya. Financial security of the company. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1908969.

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The textbook provides theoretical and practical training of business analysts on the financial security of companies. Considers the regulatory legal and methodological basis for the diagnosis of bankruptcy of organizations, as well as corporate fraud as a type of economic crimes; analytical tools for assessing the level of financial security based on a risk-oriented approach, the basics of building an internal financial security control system, including monitoring of the company's business processes affecting its financial security, as well as methods for assessing the risks of corporate fraud. The methods of diagnostics of the processes of companies' activities that contribute to improving their financial security through the introduction of a comprehensive digital environment, predictive analytics and big data technology into the control and diagnostic processes of business management are considered. Each chapter includes knowledge assessment questions, tests and situational tasks. It complies with the federal state educational standards of higher education of the latest generation, is focused on the competence model of the main professional educational programs, and also provides the functionality (requirements for labor functions) of employees laid down in the state professional standard "Business Analyst". For master's degree students studying in the areas of 38.04.01 "Economics", 38.04.02 "Management", 38.04.08 "Finance and Credit".

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8

Box, George E. P. Time series analysis: Forecasting and control. 4th ed. John Wiley, 2008.

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9

Box, George E. P. Time series analysis: Forecasting and control. 3rd ed. Prentice Hall, 1994.

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10

Box, George E. P. Time series analysis: Forecasting and control. 4th ed. John Wiley, 2008.

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11

Predictive Functional Control Advances in Industrial Control. Springer, 2012.

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12

Åström, Karl E., Donal O'Donovan, and Jacques Richalet. Predictive Functional Control: Principles and Industrial Applications. Springer, 2009.

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13

Quadt, Lisa, Hugo D. Critchley, and Sarah N. Garfinkel. Interoception and emotion: Shared mechanisms and clinical implications. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811930.003.0007.

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Internal states of bodily arousal contribute to emotional feeling states and behaviors. This chapter details the influence of interoceptive processing on emotion and describes how deficits in interoceptive ability may underpin aberrant emotional processes characteristic of clinical conditions. The representation and control of bodily physiology (e.g. heart rate and blood pressure) and the encoding of emotional experience and behavior share neural substrates within forebrain regions coupled to ascending neuromodulatory systems. This functional architecture provides a basis for dynamic embodiment of emotion. This chapter will approach the relationship between interoception and emotion within the interoceptive predictive processing framework and describe how emotional states could be the product of interoceptive prediction error minimization.

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14

Relaxed Barrier Function Based Model Predictive Control. Logos Verlag Berlin, 2017.

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15

Christofides, Panagiotis D., Jinfeng Liu, and David Muñoz de la Peña. Networked and Distributed Predictive Control. Springer, 2011.

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16

Vaez-Zadeh, Sadegh. Predictive, Deadbeat, and Combined Controls. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0005.

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In this chapter, three control methods recently developed for or applied to electric motors in general and to permanent magnet synchronous (PMS) motors, in particular, are presented. The methods include model predictive control (MPC), deadbeat control (DBC), and combined vector and direct torque control (CC). The fundamental principles of the methods are explained, the machine models appropriate to the methods are derived, and the control systems are explained. The PMS motor performances under the control systems are also investigated. It is elaborated that MPC is capable of controlling the motor under an optimal performance according to a defined objective function. DBC, on the other hand, provides a very fast response in a single operating cycle. Finally, combined control produces motor dynamics faster than one under VC, with a smoother performance than the one under DTC.

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17

Butz, Martin V., and Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.

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For more than 2000 years Greek philosophers have thought about the puzzling introspectively assessed dichotomy between our physical bodies and our seemingly non-physical minds. How is it that we can think highly abstract thoughts, seemingly fully detached from actual, physical reality? Despite the obvious interactions between mind and body (we get tired, we are hungry, we stay up late despite being tired, etc.), until today it remains puzzling how our mind controls our body, and vice versa, how our body shapes our mind. Despite a big movement towards embodied cognitive science over the last 20 years or so, introductory books with a functional and computational perspective on how human thought and language capabilities may actually have come about – and are coming about over and over again – are missing. This book fills that gap. Starting with a historical background on traditional cognitive science and resulting fundamental challenges that have not been resolved, embodied cognitive science is introduced and its implications for how human minds have come and continue to come into being are detailed. In particular, the book shows that evolution has produced biological bodies that provide “morphologically intelligent” structures, which foster the development of suitable behavioral and cognitive capabilities. While these capabilities can be modified and optimized given positive and negative reward as feedback, to reach abstract cognitive capabilities, evolution has furthermore produced particular anticipatory control-oriented mechanisms, which cause the development of particular types of predictive encodings, modularizations, and abstractions. Coupled with an embodied motivational system, versatile, goal-directed, self-motivated behavior, learning becomes possible. These lines of thought are introduced and detailed from interdisciplinary, evolutionary, ontogenetic, reinforcement learning, and anticipatory predictive encoding perspectives in the first part of the book. A short excursus then provides an introduction to neuroscience, including general knowledge about brain anatomy, and basic neural and brain functionality, as well as the main research methodologies. With reference to this knowledge, the subsequent chapters then focus on how the human brain manages to develop abstract thought and language. Sensory systems, motor systems, and their predictive, control-oriented interactions are detailed from a functional and computational perspective. Bayesian information processing is introduced along these lines as are generative models. Moreover, it is shown how particular modularizations can develop. When control and attention come into play, these structures develop also dependent on the available motor capabilities. Vice versa, the development of more versatile motor capabilities depends on structural development. Event-oriented abstractions enable conceptualizations and behavioral compositions, paving the path towards abstract thought and language. Also evolutionary drives towards social interactions play a crucial role. Based on the developing sensorimotor- and socially-grounded structures, the human mind becomes language ready. The development of language in each human child then further facilitates the self-motivated generation of abstract, compositional, highly flexible thought about the present, past, and future, as well as about others. In conclusion, the book gives an overview over how the human mind comes into being – sketching out a developmental pathway towards the mastery of abstract and reflective thought, while detailing the critical body and neural functionalities, and computational mechanisms, which enable this development.

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18

Christofides, Panagiotis D., Jinfeng Liu, and David Muñoz de la Peña. Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications. Springer London, Limited, 2013.

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19

Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning. Springer, 2023.

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20

Ma, Zhixun, Xiaohai Ge, Zhang Xin, Jinsong He, and Hao Ma. Stability Enhancement Methods of Inverters Based on Lyapunov Function, Predictive Control, and Reinforcement Learning. Springer, 2022.

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21

Jenkins, Gwilym M., Gregory C. Reinsel, George E. P. Box, and Greta M. Ljung. Time Series Analysis: Forecasting and Control. Wiley & Sons, Incorporated, John, 2015.

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22

Bradfield, Laura, Richard Morris, and Bernard W. Balleine. OCD as a Failure to Integrate Goal-Directed and Habitual Action Control. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0031.

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This chapter discusses the considerable research that has identified distinct functional circuits linking frontal cortex with the basal ganglia in the control of goal-directed and habitual actions. OCD is characterized by hyperactivity in a circuit involving some of these regions. Recent accounts of the interaction of goal-directed actions and habits suggest that these control processes interact hierarchically, so one alternative to current theories is that OCD reflects a dysfunction in this interactive process resulting in dysregulated action selection, whether that selection is driven by the outcome itself or by cues predicting the outcome. Importantly, it appears that both sources of action selection depend on the OFC—outcome based retrieval on the medial OFC and cue-related retrieval on the lateral OFC. From this perspective, therefore, hyperactivity of the OFC could produce both elevated outcome retrieval and increased responsiveness to outcomes-related cues, resulting in dysregulated action selection and compulsive action initiation as a consequence.

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23

Konrad, Kerstin, Adriana Di Martino, and Yuta Aoki. Brain volumes and intrinsic brain connectivity in ADHD. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0006.

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Neuroimaging studies have increased our understanding of the neurobiological underpinnings of ADHD. Structural brain imaging studies demonstrate widespread changes in brain volumes, in particular in frontal-striatal-cerebellar networks. Based on the widespread nature of structural and functional brain abnormalities, approaches able to capture the organizing principles of large-scale neural systems have been used in ADHD. These include diffusion magnetic resonance imaging (MRI) and resting state functional MRI (R-fMRI). Complementary to findings of volumetric studies, diffusion investigations have reported structural connectivity abnormalities in frontal-striatal-cerebellar networks. In parallel, R-fMRI studies point towards abnormalities in the interaction of multiple networks, extending the functional territory of explorations beyond cognitive and motor control. In the future, a deep phenotypic characterization beyond diagnostic categories combined with longitudinal study designs and novel analytical approaches will accelerate the pace towards clinical translations of neuroimaging to improve the detection and prediction of neural trajectories and treatment response in ADHD.

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24

Corcoran, Andrew W., and Jakob Hohwy. Allostasis, interoception, and the free energy principle: Feeling our way forward. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811930.003.0015.

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Interoceptive processing is commonly understood in terms of the monitoring and representation of the body’s current physiological (i.e. homeostatic) status, with aversive sensory experiences encoding some impending threat to tissue viability. However, claims that homeostasis fails to fully account for the sophisticated regulatory dynamics observed in complex organisms have led some theorists to incorporate predictive (i.e. allostatic) regulatory mechanisms within broader accounts of interoceptive processing. Critically, these frameworks invoke diverse—and potentially mutually inconsistent—interpretations of the role allostasis plays in the scheme of biological regulation. This chapter argues in favor of a moderate, reconciliatory position in which homeostasis and allostasis are conceived as equally vital (but functionally distinct) modes of physiological control. It explores the implications of this interpretation for free energy-based accounts of interoceptive inference, advocating a similarly complementary (and hierarchical) view of homeostatic and allostatic processing.

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25

Arrigo, Bruce A., and Brian G. Sellers, eds. The Pre-Crime Society. Policy Press, 2021. http://dx.doi.org/10.1332/policypress/9781529205251.001.0001.

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We live in a pre-crime society. Within this society, information technology strategies and techniques such as predictive policing, actuarial justice and surveillance penology are used to achieve hyper-securitization. However, such securitization comes at a cost. In this new people-making society, the criminalisation of everyday life is guaranteed, justice functions as an algorithmic industry and punishment is administered through dataveillance regimes. Exploring relevant theories, developing technologies and institutional practices, this pioneering book explains how the pre-crime society operates in the ‘ultramodern’ age, reviews this society’s cultural effects and proposes new directions in crime control policy. Edited by critical and cultural criminologists, Bruce A. Arrigo and Brian G. Sellers, the volume brings together an international cast of interdisciplinary scholars, working at the intersections of data science, digital culture, and justice studies. This is the first collection to comprehensively consider the relevance and impact of the pre-crime society thesis, across the systems of state, national, and global surveillance and securitization.

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26

Box, George E. P. Time Series Analysis: Forecasting & Control. Pearson Education Asia Limited, 2005.

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27

Eder, Lihi. The clinical course and outcome of psoriatic arthritis. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0021.

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In contrast to early reports, it is now appreciated that psoriatic arthritis (PsA) can present as a destructive, progressive, and disabling arthritis with consequences as severe as those of rheumatoid arthritis. Longitudinal cohort studies of PsA patients contributed important knowledge about long-term outcomes, such as development of structural joint damage, remission achievement, and physical function. These studies identified predictors for improved outcomes including male gender and lower burden of inflammation at presentation while delayed diagnosis, disability, and joint damage are associated with worse long-term outcomes. These findings suggest early diagnosis and aggressive control of inflammation are important as they may prevent the occurrence of subsequent joint damage. The latter is strongly correlated with long-term outcomes, such as reduced physical function and increased mortality. Development of prediction models using clinical measures, laboratory biomarkers, and imaging is warranted to stratify patients with early disease into risk groups for long-term outcomes.

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28

Jenkins, Gwilym M., Gregory C. Reinsel, and George E. P. Box. Time Series Analysis: Forecasting and Control. Wiley & Sons, Incorporated, John, 2011.

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29

Jenkins, Gwilym M., Gregory C. Reinsel, George E. P. Box, and Greta M. Ljung. Time Series Analysis: Forecasting and Control. Wiley & Sons, Incorporated, John, 2015.

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30

Jenkins, Gwilym M., Gregory C. Reinsel, George E. P. Box, and Greta M. Ljung. Time Series Analysis: Forecasting and Control. Wiley & Sons, Incorporated, John, 2015.

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31

Jenkins, Gwilym M., Gregory C. Reinsel, and George E. P. Box. Time Series Analysis: Forecasting and Control. Wiley & Sons, Incorporated, John, 2013.

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32

Jenkins, Gwilym M., Gregory C. Reinsel, and George E. P. Box. Time Series Analysis: Forecasting and Control. Wiley & Sons, Limited, John, 2013.

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33

Time Series Analysis: Forecasting and Control. Wiley, 2015.

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34

Box, George E. P. Time Series Analysis: Forecasting and Control. Wiley & Sons, Incorporated, John, 2011.

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35

Box, George E. P. Time Series Analysis: Forecasting and Control (Wiley Series in Probability and Statistics). 4th ed. Wiley-Interscience, 2008.

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