... IV DIGITAL COMPUTER CONTROL 12 Models for Sampled Data Systems 13 DigitalControl 14 Hybrid Control 313 317 351 385 V ADVANCED SISO CONTROL 15 SISO controller Parameterizations 16 ControlDesign ... Data Systems 13.4 Is a Special Theory of DigitalControlDesign Really Necessary? 13.5 Approximate Continuous Designs 13.6 At-Sample DigitalDesign 13.7 Internal Model Principle for DigitalControl ... The Excitement of Control Engineering 1.4 Chapter Types of ControlSystemDesignControlsystemdesign in practice requires cyclic effort in which one iterates between modeling, design, simulation,...
... setup of our system (Section 2) and its application in art, design, and cultural heritage projects (Section 3) AR SystemDesign 2.1 Main System Setup Figure shows the components of the system It ... how the AR system performs also in qualitative sense, we tested it with artists and designers in various art, design, and cultural heritage projects The application of artists and designers and ... tested the system with artists, designers, and curators in art, design, and cultural heritage projects This collaboration provided us with very useful observations for profitable use of the system...
... set-points Local layer local controllers controlled variables Appliances (sources, batteries, loads) Fig Schema of the layers control mechanism 2.3 Principle of control mechanism An important ... proposed an adaptive optimal control for an off-grid PV-hybrid system using a quadratic cost function and a Q-learning approach It is more efficient than conventional control but it requires to ... devices together with their existing local control systems generally embedded into appliances by manufacturers It is responsible for adjusting device controls in order to reach given set points...
... A combined flow prediction and controlsystem has been developed for optimization of multi-purpose reservoir operation The system combines the MIKE 11 modelling system for simulation of river ... reservoir controlsystem uses weather forecasts to provide forecasts of reservoir inflows, which are combined with the optimization tool to derive short-term, Paretooptimal operation strategies System ... bottom sluice gates, spillways and turbines, are specified as control structures in MIKE 11 The control structures are implemented with control strategies which determine how the structures are operated,...
... A combined flow prediction and controlsystem has been developed for optimization of multi-purpose reservoir operation The system combines the MIKE 11 modelling system for simulation of river ... according to priorities of the different controls Opening and closing of the bottom gates and spillways for flood control are described according to flood control rule curves in terms of target ... and flood control Thus, more optimal flood control rules can be implemented that provide an increase in hydropower production in the flood season without violating the basic flood control objective...
... Enhancement of System Security Problems in Building Secure Systems Security aws can de introduced throughout the lifecycle of system development, typically design phase and implementation phase • Designs ... within which the systems are run At the design phase, the systems are usually designed at a highly abstract level and without the implementation details considered erefore they are designed to be ... these is still a gap between the veri cation of the systemdesign and the security of the system implementation, meaning that even if a systemdesign is proved secure, vulnerabilities/bugs may...
... closed-loop system though the original open-loop system is stable In this section, control- system stabilities and stabilising controllers for a given controlsystem will be discussed When a dynamic system ... control systems, the open-loop systems and closed-loop systems An open-loop system uses a controller or control actuator to obtain the design response In an open-loop system, the output has no effect ... 1.1 Control- system Representations nels The number of (state) variables in a system could be very large as well These systems are called multivariable systems In order to analyse and design a control...
... robustness Fuzzy system models allow representing complex and uncertain control systems The design of controllers for such systems is addressed in Chapters and Chapter addresses the control of systems ... Decentralized Design Principle in Large-Scale SystemControl 361 Anna Filasová and Dušan Krokavec Chapter 17 A Model-Free Design of the Youla Parameter on the Generalized Internal Model Control Structure ... Junji Hirai Chapter 18 Model Based μ-Synthesis Controller Design for Time-Varying Delay System 405 Yutaka Uchimura Chapter 19 Robust Control of Nonlinear Systems with Hysteresis Based on Play-Like...
... complex nonlinear systems On the other hand, time-delay are often occurs in various practical control systems, such as transportation systems, communication systems, chemical processing systems, environmental ... stability of control systems, Theses of the reports of VII International seminar «Stability and fluctuations of nonlinear control systems» pp 122-123, Moscow, Institute of problems of control of ... significantly because the designed system stay stable within unbounded ranges of perturbation of parameters even the sign of them changes The behaviors of designed control systems obtained by MATLAB...
... explicitly deals with uncertainty in its approach to the design of the system controller [7,10,24] The methods of robust control are designed to operate properly as long as disturbances or uncertain ... errors A robust control policy is static in contrast to the adaptive (dynamic) control policy where, rather than adapting to measurements of variations, the system controller is designed to function ... practical controldesign problems, the first step is to obtain a proper mathematical model in order to examine the behavior of the system for the purpose of designing an appropriate controller...
... Control – Novel Approaches and Design Methods The control objective is to follow a theoretically sound controldesign methodology to design the controller such that the system is adaptively controlled ... fuel-optimal) of the studied systems with constrained control; (b) adaptive control of the studied control systems with unknown parameters; (c) robust control of the studied control systems with the time-varying ... Recent Advances in Robust Control – Novel Approaches and Design Methods intelligent controldesign framework to guide the controller design for uncertain, nonlinear systems to address the combining...
... to design an Adaptive Wavelet Neural Network (AWNN) controlsystem for the Buck type switching power supply The proposed AWNN controlsystem is comprised of a NN controller and a compensated controller ... neural controller using a WNN is designed to mimic an ideal controller and a robust controller is designed to compensate for the approximation error between the ideal controller and the neural controller ... nonlinear systemcontrol over the past decade, the general challenge with adaptive control of nonlinear systems has never become less formidable, not to mention the adaptive control of nonlinear systems...
... Recent Advances in Robust Control – Novel Approaches and Design Methods For controlsystemdesign problems, Condition translates into approximate decoupling in multivariable systems, while Condition ... problems in designing controllers Sliding mode control can provide high performance systems that are robust to parameter 152 Recent Advances in Robust Control – Novel Approaches and Design Methods ... obtain a quality-adequate design from any of the modern optimal methods ( , H , H ∞ , μ ) Quality adequacy is demanded of most engineering designs For linear controlsystem designs, this translates...
... Spurgeon, S K (1997) Robust Sliding Mode Control of Uncertain Nonlinear SystemSystem & control Letters, vol.32, pp.75-90 Narendra, K S (1994) Parameter Adaptive Control- the End or the Beginning? Proceeding ... Sliding Mode Control Proceeding of 1996 IEEE Workshop on Variable Structure Systems, pp.1-14 Zheng, Q & Wu, F Lyapunov Redesign of Adpative Controllers for Polynomial Nonlinear systems," (2009) ... a class of Nonlinear Systems Proceeding of IEEE CDC pp.4840-4844, 2008 Chen, W H., Ballance, D J & Gawthrop, P J (2003) Optimal Control of Nonlinear System: A Predictive Control Approach Automatica,...
... of digitalcontrol systems is illustrated by the following example of a digital flight controlsystem Numerous changes have been made in aircraft flight control systems Initially, flight control ... problems in the controldesign To obtain a successful control design, the controlled system must meet all of the requirements during simulation and system test If the controlled system fails any ... illustrated the benefits of designing flight control systems with the QFT robust controlsystemdesign technique in contrast to the brute force approach of optimizing a flight controlsystem for performance...
... semi-active system based upon the generation method of the control force The semi-active suspension system produces the control force by changing the size of an orifice, and therefore the control ... nonlinear control technique which combines the adaptive control and the variable structure control with an experimental electro-hydraulic suspension system In their research, the performance of the controlled ... the control law, derived for an active suspension system, may be applicable to a semi-active suspension system without resulting in much degradation of control performance Fig 10 compares the control...