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Architecture --- architectuurtheorie --- esthetiek --- architectuur

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To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models, whereas stochastic uncertainties can be characterized in the form of a distribution described, for example, by the mean value, the standard deviation and higher-order moments. The goal of this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties is to cover modern methods for dealing with the challenges presented by imprecise or unavailable information. All contributions tackle the topic from the point of view of control, state and parameter estimation, optimization and simulation. Thematically, this volume can be divided into two parts. In the first we present works highlighting the theoretic background and current research on algorithmic approaches in the field of uncertainty handling, together with their reliable software implementation. The second part is concerned with real-life application scenarios from various areas including but not limited to mechatronics, robotics, and biomedical engineering.

Geometry, Descriptive. --- Mathematics. --- Tolerance (Engineering). --- Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Fuzzy systems --- System analysis --- Simulation methods. --- Mathematical models. --- Systems, Fuzzy --- Engineering. --- Software engineering. --- System theory. --- Control engineering. --- Robotics. --- Mechatronics. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Software Engineering/Programming and Operating Systems. --- Fuzzy logic --- Systems theory. --- Computer software engineering --- Engineering --- Systems, Theory of --- Systems science --- Science --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Philosophy

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This edited book aims at presenting current research activities in the field of robust variable-structure systems. The scope equally comprises highlighting novel methodological aspects as well as presenting the use of variable-structure techniques in industrial applications including their efficient implementation on hardware for real-time control. The target audience primarily comprises research experts in the field of control theory and nonlinear dynamics but the book may also be beneficial for graduate students.

Functional analysis --- Numerical methods of optimisation --- Mathematics --- Classical mechanics. Field theory --- Mechanical properties of solids --- Applied physical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- patroonherkenning --- procesautomatisering --- analyse (wiskunde) --- vormgeving --- computers --- informatica --- mineralen (chemie) --- simulaties --- mijnbouw --- controleleer --- wiskunde --- ingenieurswetenschappen --- kansrekening --- dynamica --- regeltechniek --- optimalisatie --- optica

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To describe the true behavior of most real-world systems with sufficient accuracy, engineers have to overcome difficulties arising from their lack of knowledge about certain parts of a process or from the impossibility of characterizing it with absolute certainty. Depending on the application at hand, uncertainties in modeling and measurements can be represented in different ways. For example, bounded uncertainties can be described by intervals, affine forms or general polynomial enclosures such as Taylor models, whereas stochastic uncertainties can be characterized in the form of a distribution described, for example, by the mean value, the standard deviation and higher-order moments. The goal of this Special Volume on Modeling, Design, and Simulation of Systems with Uncertainties is to cover modern methods for dealing with the challenges presented by imprecise or unavailable information. All contributions tackle the topic from the point of view of control, state and parameter estimation, optimization and simulation. Thematically, this volume can be divided into two parts. In the first we present works highlighting the theoretic background and current research on algorithmic approaches in the field of uncertainty handling, together with their reliable software implementation. The second part is concerned with real-life application scenarios from various areas including but not limited to mechatronics, robotics, and biomedical engineering.

Engineering sciences. Technology --- Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- mechatronica --- industriële robots --- automatisering --- computerbesturingssystemen --- programmeren (informatica) --- systeemtheorie --- software engineering --- systeembeheer

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Social sciences (general)