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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
This book presents the latest research on applications of
artificial intelligence and the Internet of Things in renewable
energy systems. Advanced renewable energy systems must necessarily
involve the latest technology like artificial intelligence and
Internet of Things to develop low cost, smart and efficient
solutions. Intelligence allows the system to optimize the power,
thereby making it a power efficient system; whereas, Internet of
Things makes the system independent of wire and flexibility in
operation. As a result, intelligent and IOT paradigms are finding
increasing applications in the study of renewable energy systems.
This book presents advanced applications of artificial intelligence
and the internet of things in renewable energy systems development.
It covers such topics as solar energy systems, electric vehicles
etc. In all these areas applications of artificial intelligence
methods such as artificial neural networks, genetic algorithms,
fuzzy logic and a combination of the above, called hybrid systems,
are included. The book is intended for a wide audience ranging from
the undergraduate level up to the research academic and industrial
communities engaged in the study and performance prediction of
renewable energy systems.
This book presents best selected research papers presented at
Innovation in Sustainable Energy and Technology India (ISET 2020),
organized by Energy Institute Bangalore (A unit of RGIPT, an
Institute of National Importance), India, during 3-4 December 2020.
The book covers various topics of sustainable energy and
technologies which includes renewable energy (solar photovoltaic,
solar thermal and CSP, biomass, wind energy, micro hydro power,
hydrogen energy, geothermal energy, energy materials, energy
storage, hybrid energy), smart energy systems (electrical vehicle,
cybersecurity, charging infrastructures, IOT & AI, waste
management, PHEV (CNG/EV) and mobility (smart grids, IOT & AI,
energy-efficient buildings, mart agriculture).
This book features selected manuscripts presented at ICoNSoM 2019,
exploring cutting-edge methods for developing novel models in
nonlinear solid mechanics. Innovative methods like additive
manufacturing-for example, 3D printing- and miniaturization mean
that engineers need more accurate techniques for modeling solid
body mechanics. The book focuses on the formulation of continuum
and discrete models for complex materials and systems, particularly
the design of metamaterials.
The research presented in this book shows how combining deep neural
networks with a special class of fuzzy logical rules and
multi-criteria decision tools can make deep neural networks more
interpretable - and even, in many cases, more efficient. Fuzzy
logic together with multi-criteria decision-making tools provides
very powerful tools for modeling human thinking. Based on their
common theoretical basis, we propose a consistent framework for
modeling human thinking by using the tools of all three fields:
fuzzy logic, multi-criteria decision-making, and deep learning to
help reduce the black-box nature of neural models; a challenge that
is of vital importance to the whole research community.
This book gives a general introduction to theoretically understand
thermodynamic properties and response to applied fields of
mesoscopic systems that closely relate to experiments. The book
clarifies many conceptual and practical problems associated with
the Larmor clock and thus makes it a viable approach to study these
properties. The book is written pedagogically so that a graduate or
undergraduate student can follow it. This book also opens up new
research areas related to the unification of classical and quantum
theories and the meaning of time. It provides a scientific
mechanism for time travel which is of immense fascination to
science as well as society. It is known that developments in
mesoscopic physics can lead to downscaling of device sizes. So, new
or experienced researchers can have a quick introduction to various
areas in which they might contribute in the future. This book is
expected to be a valuable addition to the subject of mesoscopic
physics.
This book presents several novel constructive methodologies for
global stabilization and H-infinity control in switched dynamic
systems by using the systems' structure information. The main
features of these new approaches are twofold: i) Novel Lyapunov
functions are constructed and new switching strategies are designed
to guarantee global finite-time stabilization of the closed-loop
switched dynamic systems,while ii) without posing any internal
stability requirements on subsystems, the standard H-infinity
control problem of the switched dynamic systems is solved by means
of dwell-time switching techniques. Systematically presenting
constructive methods for analyzing and synthesizing switched
systems, the content is of great significance to theoretical
research and practical applications involving switched systems
alike. The book provides a unified framework for stability
analysis, stabilization and H-infinity control of switched systems,
making it a valuable resource for researchers and graduate students
who want to learn about the state of the art in the analysis and
synthesis of switched systems, as well as recent advances in
switched linear systems. In addition, it offers a wealth of
cutting-edge constructive methods and algorithm designs for
researchers who work with switched dynamic systems and graduate
students of control theory and control engineering.
This book presents a selection of cutting-edge methods that allow
readers to obtain novel models for nonlinear solid mechanics.
Today, engineers need more accurate techniques for modeling solid
body mechanics, chiefly due to innovative methods like additive
manufacturing-for example, 3D printing-but also due to
miniaturization. This book focuses on the formulation of continuum
and discrete models for complex materials and systems, and
especially the design of metamaterials. It gathers outstanding
papers from the international conference IcONSOM 2019
This book focuses on distributed and economic Model Predictive
Control (MPC) with applications in different fields. MPC is one of
the most successful advanced control methodologies due to the
simplicity of the basic idea (measure the current state, predict
and optimize the future behavior of the plant to determine an input
signal, and repeat this procedure ad infinitum) and its capability
to deal with constrained nonlinear multi-input multi-output
systems. While the basic idea is simple, the rigorous analysis of
the MPC closed loop can be quite involved. Here, distributed means
that either the computation is distributed to meet real-time
requirements for (very) large-scale systems or that distributed
agents act autonomously while being coupled via the constraints
and/or the control objective. In the latter case, communication is
necessary to maintain feasibility or to recover system-wide optimal
performance. The term economic refers to general control tasks and,
thus, goes beyond the typically predominant control objective of
set-point stabilization. Here, recently developed concepts like
(strict) dissipativity of optimal control problems or turnpike
properties play a crucial role. The book collects research and
survey articles on recent ideas and it provides perspectives on
current trends in nonlinear model predictive control. Indeed, the
book is the outcome of a series of six workshops funded by the
German Research Foundation (DFG) involving early-stage career
scientists from different countries and from leading European
industry stakeholders.
This book presents few novel Discrete-time Sliding Mode (DSM)
protocols for leader-following consensus of Discrete Multi-Agent
Systems (DMASs). The protocols intend to achieve the consensus in
finite time steps and also tackle the corresponding uncertainties.
Based on the communication graph topology of multi-agent systems,
the protocols are divided into two groups, namely (i) Fixed graph
topology and (ii) Switching graph topology. The coverage begins
with the design of Discrete-time Sliding Mode (DSM) protocols using
Gao's reaching law and power rate reaching law for the
synchronization of linear DMASs by using the exchange of
information between the agents and the leader to achieve a common
goal. Then, in a subsequent chapter, analysis for no. of fixed-time
steps required for the leader-following consensus is presented. The
book also includes chapters on the design of Discrete-time
Higher-order Sliding Mode (DHSM) protocols, Event-triggered DSM
protocols for the leader-following consensus of DMASs. A chapter is
also included on the design of DHSM protocols for leader-following
consensus of heterogeneous DMASs. Special emphasis is given to the
practical implementation of each proposed DSM protocol for
achieving leader-following consensus of helicopter systems,
flexible joint robotic arms, and rigid joint robotic arms. This
book offers a ready reference guide for graduate students and
researchers working in the areas of control, automation, and
communication engineering, and in particular the cooperative
control of multi-agent systems. It will also benefit professional
engineers working to design and implement robust controllers for
power systems, autonomous vehicles, military surveillance,
smartgrids/microgrids, vehicle traffic management, robotic teams,
and aerial robots.
Nonlinear Structures & Systems, Volume 1: Proceedings of the
38th IMAC, A Conference and Exposition on Structural Dynamics,
2020, the first volume of eight from the Conference brings together
contributions to this important area of research and engineering.
The collection presents early findings and case studies on
fundamental and applied aspects of Nonlinear Dynamics, including
papers on: Nonlinear Reduced-order Modeling Jointed Structures:
Identification, Mechanics, Dynamics Experimental Nonlinear Dynamics
Nonlinear Model & Modal Interactions Nonlinear Damping
Nonlinear Modeling & Simulation Nonlinearity & System
Identification
This book discusses important recent advances in automated
negotiations. It introduces a number of state-of-the-art autonomous
agents for large-scale and complex negotiations, and demonstrates
that automated negotiation is one of the most important areas in
the field of autonomous agents and multi-agent systems. Further, it
presents automated negotiation scenarios involving negotiation
encounters that may have, for instance, a large number of agents or
a large number of issues with interdependencies and/or real-time
constraints. This book includes carefully selected and reviewed
outcomes of the 11th International Workshop on Automated
Negotiations (ACAN) held in Stockholm, Sweden, 2018, in conjunction
with IJCAI-ECAI-2018. Written by leading academic and industrial
researchers, it is a valuable resource for professionals and
scholars working on complex automated negotiations. Furthermore,
the in-depth descriptions of automated negotiating agent programs
help readers who are involved in writing codes for automated
agents.
This book helps students, researchers, and practicing engineers to
understand the theoretical framework of control and system theory
for discrete-time stochastic systems so that they can then apply
its principles to their own stochastic control systems and to the
solution of control, filtering, and realization problems for such
systems. Applications of the theory in the book include the control
of ships, shock absorbers, traffic and communications networks, and
power systems with fluctuating power flows. The focus of the book
is a stochastic control system defined for a spectrum of
probability distributions including Bernoulli, finite, Poisson,
beta, gamma, and Gaussian distributions. The concepts of
observability and controllability of a stochastic control system
are defined and characterized. Each output process considered is,
with respect to conditions, represented by a stochastic system
called a stochastic realization. The existence of a control law is
related to stochastic controllability while the existence of a
filter system is related to stochastic observability. Stochastic
control with partial observations is based on the existence of a
stochastic realization of the filtration of the observed process.
This book focuses on bifurcation and stability in nonlinear
discrete systems, including monotonic and oscillatory stability. It
presents the local monotonic and oscillatory stability and
bifurcation of period-1 fixed-points on a specific eigenvector
direction, and discusses the corresponding higher-order singularity
of fixed-points. Further, it explores the global analysis of
monotonic and oscillatory stability of fixed-points in
1-dimensional discrete systems through 1-dimensional polynomial
discrete systems. Based on the Yin-Yang theory of nonlinear
discrete systems, the book also addresses the dynamics of forward
and backward nonlinear discrete systems, and the existence
conditions of fixed-points in said systems. Lastly, in the context
of local analysis, it describes the normal forms of nonlinear
discrete systems and infinite-fixed-point discrete systems.
Examining nonlinear discrete systems from various perspectives, the
book helps readers gain a better understanding of the nonlinear
dynamics of such systems.
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