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This book, entitled “Plasma-Based Synthesis and Modification of Nanomaterials” is a collection of nine original research articles devoted to the application of different atmospheric pressure (APPs) and low-pressure (LPPs) plasmas for the synthesis or modification of various nanomaterials (NMs) of exceptional properties. These articles also show the structural and morphological characterization of the synthesized NMs and their further interesting and unique applications in different areas of science and technology. The readers interested in the capabilities of plasma-based treatments will quickly be convinced that APPs and LPPs enable one to efficiently synthesize or modify differentiated NMs using a minimal number of operations. Indeed, the presented procedures are eco-friendly and usually involve single-step processes, thus considerably lowering labor investment and costs. As a result, the production of new NMs and their functionalization is more straightforward and can be carried out on a much larger scale compared to other methods and procedures involving complex chemical treatments and processes. The size and morphology, as well as the structural and optical properties of the resulting NMs are tunable and tailorable. In addition to the desirable and reproducible physical dimensions, crystallinity, functionality, and spectral properties of the resultant NMs, the NMs fabricated and/or modified with the aid of APPs are commonly ready-to-use prior to their specific applications, without any initial pre-treatments.

plasma–liquid interactions --- n/a --- plasma synthesis --- pre-treatment --- liquid phase plasma --- anode materials --- CO-hydrogenation --- nanoparticles --- Clavibacter michiganensis --- cold atmospheric-pressure plasma --- mercury ion --- dielectric barrier discharge --- low-temperature Fischer–Tropsch --- nanocellulose --- nanoparticle --- solution plasma --- activated carbon powder --- ionic liquid --- nitrogen-doped carbon --- heat transfer --- polymer nanocomposite --- Dickeya solani --- stabilizer --- plant protection --- pulsed plasma in liquid --- Xanthomonas campestris pv. campestris --- Pd-Fe alloy --- quercetin --- iron oxide nanoparticle --- phytopathogens --- pseudo-capacitive characteristics --- submerged liquid plasma --- atmospheric pressure plasma --- plasma treatment --- Ralstonia solanacearum --- batteries --- nano-catalysts --- direct current atmospheric pressure glow discharge --- nanostructures --- Erwinia amylovora --- carbon dots --- silicon --- capacitively coupled plasma --- necrosis --- upconversion --- quarantine --- plasma-liquid interactions --- low-temperature Fischer-Tropsch

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Due to the intensive development of the global economy, many problems are constantly emerging connected to the safety of ships’ motion in the context of increasing marine traffic. These problems seem to be especially significant for the further development of marine transportation services, with the need to considerably increase their efficiency and reliability. One of the most commonly used approaches to ensuring safety and efficiency is the wide implementation of various automated systems for guidance and control, including such popular systems as marine autopilots, dynamic positioning systems, speed control systems, automatic routing installations, etc. This Special Issue focuses on various problems related to the analysis, design, modelling, and operation of the aforementioned systems. It covers such actual problems as tracking control, path following control, ship weather routing, course keeping control, control of autonomous underwater vehicles, ship collision avoidance. These problems are investigated using methods such as neural networks, sliding mode control, genetic algorithms, L2-gain approach, optimal damping concept, fuzzy logic and others. This Special Issue is intended to present and discuss significant contemporary problems in the areas of automatic control and the routing of marine vessels.

Technology: general issues --- History of engineering & technology --- collision avoidance --- ship domain --- fuzzy inference --- collision risk --- early warning system --- marine vessel --- tracking controller --- stability --- functional --- optimal damping --- fin stabilizer --- ship turning --- heel/roll reduction --- L2-gain --- uncertainty --- non-linearity --- ship motion control --- path-following --- guidance algorithm --- nonlinear feedback --- AIS Data --- trajectory prediction --- waterway transportation --- neural networks --- autonomous navigation --- multi-joint autonomous underwater vehicle (MJ-AUV) --- 3-dimensional modeling --- LQR --- LESO --- multicriteria route planning --- genetic algorithm --- particle swarm optimization --- oceanic meteorological routing --- cooperative game theory --- supply chain management --- supply disruption --- unmanned surface vehicle --- Guidance, Navigation and Control --- course keeping --- adaptive sliding mode --- unmanned surface vehicle (USV) --- system identification --- traditional neural network --- physics-informed neural network --- zigzag test --- n/a

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Modern complex large-scale dynamical systems exist in virtually every aspect of science and engineering, and are associated with a wide variety of physical, technological, environmental, and social phenomena, including aerospace, power, communications, and network systems, to name just a few. This book develops a general stability analysis and control design framework for nonlinear large-scale interconnected dynamical systems, and presents the most complete treatment on vector Lyapunov function methods, vector dissipativity theory, and decentralized control architectures. Large-scale dynamical systems are strongly interconnected and consist of interacting subsystems exchanging matter, energy, or information with the environment. The sheer size, or dimensionality, of these systems necessitates decentralized analysis and control system synthesis methods for their analysis and design. Written in a theorem-proof format with examples to illustrate new concepts, this book addresses continuous-time, discrete-time, and hybrid large-scale systems. It develops finite-time stability and finite-time decentralized stabilization, thermodynamic modeling, maximum entropy control, and energy-based decentralized control. This book will interest applied mathematicians, dynamical systems theorists, control theorists, and engineers, and anyone seeking a fundamental and comprehensive understanding of large-scale interconnected dynamical systems and control.

Lyapunov stability --- Energy dissipation --- Dynamics --- Large scale systems --- Information Technology --- General and Others --- Lyapunov stability. --- Energy dissipation. --- Dynamics. --- Large scale systems. --- Systems, Large scale --- Dynamical systems --- Kinetics --- Liapunov stability --- Ljapunov stability --- Degradation, Energy --- Dissipation (Physics) --- Energy degradation --- Energy losses --- Losses, Energy --- Engineering systems --- System analysis --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Control theory --- Stability --- Clausius-type inequality. --- KalmanЙakubovichАopov conditions. --- KalmanЙakubovichАopov equations. --- KrasovskiiЌaSalle theorem. --- asymptotic stabilizability. --- combustion processes. --- comparison system. --- compartmental dynamical system theory. --- compartmental dynamical system. --- control Lyapunov function. --- control design. --- control signal. --- control vector Lyapunov function. --- convergence. --- coordination control. --- decentralized affine. --- decentralized control. --- decentralized controller. --- decentralized finite-time stabilizer. --- discrete-time dynamical system. --- dissipativity theory. --- dynamical system. --- ectropy. --- energy conservation. --- energy dissipation. --- energy equipartition. --- energy flow. --- entropy. --- feedback control law. --- feedback interconnection stability. --- feedback stabilizer. --- finite-time stability. --- finite-time stabilization. --- gain margin. --- hybrid closed-loop system. --- hybrid decentralized controller. --- hybrid dynamic controller. --- hybrid finite-time stabilizing controller. --- hybrid vector comparison system. --- hybrid vector dissipation inequality. --- impulsive differential equations. --- impulsive dynamical system. --- interconnected dynamical system. --- large-scale dynamical system. --- law of thermodynamics. --- linear energy exchange. --- maximum entropy control. --- multiagent interconnected system. --- multiagent systems. --- multivehicle coordinated motion control. --- nonconservation of ectropy. --- nonconservation of entropy. --- nonlinear dynamical system. --- optimality. --- plant energy. --- scalar Lyapunov function. --- sector margin. --- semistable dissipation matrix. --- stability analysis. --- stability theory. --- stability. --- state space. --- subsystem decomposition. --- subsystem energy. --- thermoacoustic instabilities. --- thermodynamic modeling. --- time-invariant set. --- time-varying set. --- vector Lyapunov function. --- vector available storage. --- vector comparison system. --- vector dissipation inequality. --- vector dissipative system. --- vector dissipativity theory. --- vector dissipativity. --- vector field. --- vector hybrid supply rate. --- vector lossless system. --- vector required supply. --- vector storage function. --- vector supply rate.

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New adaptive and event-triggered control designs with concrete applications in undersea construction, offshore drilling, and cable elevatorsControl applications in undersea construction, cable elevators, and offshore drilling present major methodological challenges because they involve PDE systems (cables and drillstrings) of time-varying length, coupled with ODE systems (the attached loads or tools) that usually have unknown parameters and unmeasured states. In PDE Control of String-Actuated Motion, Ji Wang and Miroslav Krstic develop control algorithms for these complex PDE-ODE systems evolving on time-varying domains.Motivated by physical systems, the book’s algorithms are designed to operate, with rigorous mathematical guarantees, in the presence of real-world challenges, such as unknown parameters, unmeasured distributed states, environmental disturbances, delays, and event-triggered implementations. The book leverages the power of the PDE backstepping approach and expands its scope in many directions.Filled with theoretical innovations and comprehensive in its coverage, PDE Control of String-Actuated Motion provides new design tools and mathematical techniques with far-reaching potential in adaptive control, delay systems, and event-triggered control.

Boundary value problems. --- Cables --- Control theory. --- Differential equations, Partial. --- Equations of motion. --- Loads (Mechanics) --- Loads (Mechanics). --- SCIENCE / Mechanics / Dynamics. --- Vibration. --- Strains and stresses --- Boundary conditions (Differential equations) --- Differential equations --- Functions of complex variables --- Mathematical physics --- Initial value problems --- Motion equations --- Mechanics --- Lagrange equations --- Partial differential equations --- Dynamics --- Machine theory --- Accelerometer. --- Actuator. --- Adaptive control. --- Aircraft. --- Algorithm. --- Altitude. --- Ammeter. --- Amplitude. --- Angle of attack. --- Attitude control. --- Belt (mechanical). --- Bending. --- Buoyancy. --- Cape Crozier. --- Center of mass (relativistic). --- Center of pressure (fluid mechanics). --- Centrality. --- Centrifugal force. --- Chemical bond. --- Coanda effect. --- Combination. --- Compressibility. --- Contact force. --- Contour line. --- Control limits. --- Control reversal. --- Control variable. --- Convection. --- Coordinate system. --- Coupling. --- Drill bit. --- Dynamic pressure. --- Eigenfunction. --- Elastic instability. --- Elevon. --- Empennage. --- Equation. --- Flapper valve. --- Flight control surfaces. --- Force. --- Frequency domain. --- Frequency response. --- Fuselage. --- Gangway (nautical). --- Hamilton's principle. --- Imagery. --- Increment and decrement operators. --- Inference. --- Initial condition. --- Inspection. --- Laminar flow. --- Limit load (physics). --- Limit set. --- Linearization. --- Longitudinal mode. --- Loop around. --- Mach number. --- Main effect. --- Motion control. --- Motion planning. --- Newton's laws of motion. --- Open loop. --- Order of magnitude. --- Partial differential equation. --- Pitch angle (particle motion). --- Powered lift. --- Pressure. --- Propulsion. --- Publishing. --- Requirement. --- Rotation around a fixed axis. --- Shackle. --- Shear flow. --- Simultaneity. --- Skin friction drag. --- Solver. --- Specific impulse. --- Spiral model. --- Spline interpolation. --- State-space representation. --- Subroutine. --- Thrust vectoring. --- Torsion (mechanics). --- Torsional vibration. --- Trajectory. --- Transfer function. --- Transformation matrix. --- Transonic. --- Unit vector. --- Upper and lower bounds. --- Vector field. --- Vector projection. --- Vertical stabilizer. --- Vestibular system. --- Vibration control. --- Wind tunnel. --- Wire rope. --- SCIENCE / Mechanics / Dynamics --- MATHEMATICS / Applied

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The optimization of motion and trajectory planning is an effective and usually costless approach to improving the performance of robots, mechatronic systems, automatic machines and multibody systems. Indeed, wise planning increases precision and machine productivity, while reducing vibrations, motion time, actuation effort and energy consumption. On the other hand, the availability of optimized methods for motion planning allows for a cheaper and lighter system construction. The issue of motion planning is also tightly linked with the synthesis of high-performance feedback and feedforward control schemes, which can either enhance the effectiveness of motion planning or compensate for its gaps. To collect and disseminate a meaningful collection of these applications, this book proposes 15 novel research studies that cover different sub-areas, in the framework of motion planning and control.

History of engineering & technology --- humanoid robot --- walk fast --- rotational slip --- ZMP --- gait planning --- quadruped robot --- whole robot control --- location trajectory --- dynamic gait --- fin stabilizer --- command-filtered backstepping --- sliding mode control --- prescribed performance --- disturbance observer --- OES --- inertial stability accuracy --- low-speed performance --- speed observation --- disturbance observation --- state-augmented Kalman filter --- composed control scheme --- fractional calculus --- FOPD controller --- underwater vehicle --- motion control --- modal analysis --- flexible multibody systems --- linearized models --- six-legged robot --- whole-body motion planning --- rugged terrain --- support --- swing --- gesture-based teleoperation --- robotic assembly --- force feedback --- compliant robot motion --- pickup manipulator --- adaptive genetic algorithm --- trajectory optimization --- improved artificial potential field method --- obstacle avoidance planning --- robust estimation --- dynamic model --- unknown but bounded noise --- extended set-membership filter --- dynamic balancing --- shaking force balancing --- acceleration control of the center of mass --- fully Cartesian coordinates --- natural coordinates --- parallel manipulators --- passive model --- biped walking --- Impact and contact --- friction force --- dissipative force --- energy efficiency --- robot --- motion design --- functional redundancy --- UR5 --- hybrid navigation system --- weighted-sum model --- a heuristic algorithm --- piecewise cubic Bézier curve --- mobile robot