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"This book contains a collection of modern anti-windup algorithms. It is aimed at practicing control engineers as well as graduate students. The reader will learn the objectives and terminology of the anti-windup problem, will be exposed to the mathematics behind anti-windup synthesis, and will gain exposure to a variety of anti-windup algorithms, which are illustrated through examples"--

Automatic control --- Linear control systems. --- Actuators. --- Mathematical models. --- Euler-Lagrange system. --- F8 aircraft. --- MIMO. --- SISO. --- algebraic loop. --- anti-windup algorithm. --- anti-windup augmentation. --- anti-windup compensator. --- anti-windup construction. --- anti-windup design. --- anti-windup filter. --- anti-windup synthesis. --- anti-windup. --- bumpless authority transfer. --- closed loop. --- compensation. --- constrained closed loop. --- controller. --- damped mass-spring. --- dead-time plant. --- direct control design. --- direct linear anti-windup. --- dynamic direct linear anti-windup. --- exponentially stable plant. --- exponentially unstable plant. --- external stability. --- feedback algorithm. --- feedback loop. --- feedback signal. --- global performance. --- global stability. --- hardware redundancy. --- input saturation. --- input. --- inputЯutput stability. --- internal stability. --- internal state. --- linear controller. --- linear injection. --- linear matrix inequalities. --- linear model recovery anti-windup. --- linear system. --- measurement governor. --- model predictive control. --- model recovery anti-windup. --- multicontroller scheme. --- nested saturation. --- non-exponentially unstable plant. --- nonlinear gain. --- nonlinear injection. --- nonlinear plant. --- nonlinear synthesis technique. --- nonlinear system. --- numerical algorithm. --- quadratic function. --- rank-deficient matrices. --- reduced-order compensator. --- reference governor. --- regional stability. --- reliable control. --- saturated closed loop. --- saturated closed-loop system. --- saturation nonlinearity. --- saturation. --- scheduling. --- servo-positioning system. --- small signal preservation. --- stability. --- stabilizer. --- state-space approach. --- stateгpace representation. --- static linear anti-windup. --- switching. --- unconstrained closed loop. --- unconstrained closed-loop system. --- unconstrained controller. --- unconstrained feedback system. --- unconstrained plant. --- unconstrained response recovery. --- unconstrained response. --- windup.

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The ever-increasing need for higher efficiency, smaller size, and lower cost make the analysis, understanding, and design of energy conversion systems extremely important, interesting, and even imperative. One of the most neglected features in the study of such systems is the effect of the inherent nonlinearities on the stability of the system. Due to these nonlinearities, these devices may exhibit undesirable and complex dynamics, which are the focus of many researchers. Even though a lot of research has taken place in this area during the last 20 years, it is still an active research topic for mainstream power engineers. This research has demonstrated that these systems can become unstable with a direct result in increased losses, extra subharmonics, and even uncontrollability/unobservability. The detailed study of these systems can help in the design of smaller, lighter, and less expensive converters that are particularly important in emerging areas of research like electric vehicles, smart grids, renewable energy sources, and others. The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in different energy conversion systems: theoretical, analysis modelling, and practical solutions for such emerging applications. In this Special Issue, we present novel research works in different areas of the control and nonlinear dynamics of energy conversion systems.

multi-clearance --- neural network --- zero average dynamics --- Cable3D --- variable bus voltage MG --- explosion-magnetic generator --- quadratic boost --- matrix norm --- coordinated control system --- permanent magnet synchronous motor (PMSM) --- photovoltaic (PV) --- power conversion --- capacitance current pulse train control --- air gap eccentricity --- high step-up voltage gain --- voltage ripple --- offset-free --- goal representation heuristic dynamic programming (GrHDP) --- current mode control --- sliding mode observer (SMO) --- multi-model predictive control --- combined heat and power unit --- discontinuous conduction mode (DCM) --- current-pulse formation --- sliding mode control --- single artificial neuron goal representation heuristic dynamic programming (SAN-GrHDP) --- subharmonic oscillations --- DC micro grid --- supply air temperature --- air-handling unit (AHU) --- vibration characteristics --- magnetic saturation --- slope compensation --- fixed-point inducting control --- the load of suspension point in the z direction --- variable switching frequency DC-DC converters --- droop control --- Helmholtz number --- plasma accelerator --- contraction analysis --- sliding control --- bifurcations in control parameter --- disturbance observer --- DC motor --- multiphysics --- virtual impedance --- pulverizing system --- ultrahigh voltage conversion ratio --- corrugated pipe --- DC-DC converters --- maximum power point tracking (MPPT) --- dynamic model --- nonlinear dynamics --- new step-up converter --- micro-grid --- global stability --- extended back electromotive force (EEMF) --- small-signal model --- electromagnetic vibration --- nonlinear dynamic model --- excited modes --- data-driven --- rigid body rotation --- position sensorless --- prediction --- centralized vs. decentralized control --- inferential control --- boost-flyback converter --- calculation method --- switched reluctance generator --- monodromy matrix --- bridgeless converter --- decoupling control --- distributed architecture --- wave --- buck converter --- soft sensor --- model–plant mismatches --- whistling noise --- efficiency optimization --- steel catenary riser --- moving horizon estimation --- single artificial neuron (SAN) --- space mechanism --- two-stage bypass --- electrical machine --- harmonic suppression --- local vs. global optimization --- performance recovery --- reinforcement learning (RL) --- adaptive dynamic programming (ADP) --- overvoltage --- planetary gears --- maximum power point tracking --- DC-DC buck converter --- power quality --- average-current mode control --- feedback coefficient --- power factor correction (PFC) --- capacitance current --- predictive control --- rotor dynamics