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1577 results in Control systems and optimization

Page 15 of 79

  • 3 - State/Signal Systems: Dynamic and Frequency Domain Properties

  • Damir Z. Arov, Olof J. Staffans, Åbo Akademi University, Finland
  • Book:
    Linear State/Signal Systems
    Published online:
    05 May 2022
    Print publication:
    26 May 2022, pp 132-216

  • Summary

    The concept of social licence is increasingly being used to draw attention to the need for community support and acceptance of research,particularly of data-based research. Chapter three examines the nature of social licence and its application to research using linked data. Social licence is framed as an analytical tool to design and evaluate decision making for sharing and using linked data for research. The chapter examines the qualitative evidence of public perceptions and the conditions for community support and identifies the substantive and procedural conditions that lead to trust and legitmacy. The chapter concludes that these conditions should be embedded in the governance of research using linked data to develop and sustain community acceptance.

  • 14 - Well-Posed Input/State/Output Systems

  • Damir Z. Arov, Olof J. Staffans, Åbo Akademi University, Finland
  • Book:
    Linear State/Signal Systems
    Published online:
    05 May 2022
    Print publication:
    26 May 2022, pp 816-906

  • Summary

    This chapter is devoted to the study of well-posed i/s/o systems. These systems are assumed to be solvable and to satisfy a well-posedness condition that guarantees the existence of a unique future generalized trajectory for any given initial state and input function that belongs locally to L2. Although it is not obvious from the definition, every well-posed i/s/o system is internally well-posed, i.e., it has a nonempty resolvent set-and its main operator generates a C0 semigroup. Semi-bounded i/s/o systems are well-posed. The class of well-posed i/s/o systems is the largest class in this book for which can to prove connections between time and frequency domain results that are analogous to those established in Chapter 8 for the class of semi-bounded i/s/o systems. At the end of this chapter we define the notion of a scattering passive system, and show that scattering passive systems are well-posed. A scattering passive system is characterized by the fact that it is regular, and its system operator is maximally scattering dissipative. Well-posed s/s systems are discussed in Chapter 15.

Control Systems and Reinforcement Learning
  • Sean Meyn
  • Published online:
    17 May 2022
    Print publication:
    09 June 2022
  • A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.

Page 15 of 79