19 Result(s)
within
Reference Work Entry
B **
Control and Systems Theory
Industrial Chemistry/Chemical Engineering
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Reference Work Entry In depth
Stock Trading via Feedback Control Methods
This article covers stock trading from a feedback control point of view. To this end, mechanics and practical considerations associated with the use of feedback algorithms are explained for both real-world tra...
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Reference Work Entry In depth
Moving Horizon Estimation
Moving horizon estimation (MHE) is a state estimation method that is particularly useful for nonlinear or constrained dynamical systems for which few general methods with established properties are available. ...
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Living Reference Work Entry In depth
Moving Horizon Estimation
Moving horizon estimation (MHE) is a state estimation method that is particularly useful for nonlinear or constrained dynamical systems for which few general methods with established properties are available. ...
-
Reference Work Entry In depth
Motion Description Languages and Symbolic Control
The fundamental idea behind symbolic control is to mitigate the complexity of a dynamic system by limiting the set of available controls to a typically finite collection of symbols. Each symbol represents a co...
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Reference Work Entry In depth
Non-raster Methods in Scanning Probe Microscopy
Scanning probe microscopy (SPM) refers to a family of technologies for probing systems with nanometer-scale features in which a probe interacts with a sample. Traditionally, images of a signal of interest are ...
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Reference Work Entry In depth
Deep Learning in a System Identification Perspective
The use of deep learning for sequence learning problems and system identification are intimately linked, and interesting opportunities exist on this cross section. The aim of this chapter is to briefly introdu...
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Reference Work Entry In depth
Automated Insulin Dosing for Type 1 Diabetes
The development of automated insulin delivery (also known as a closed-loop artificial pancreas) systems has been an active research area since the 1960s, with an intense focus since 2005. In the United States ...
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Reference Work Entry In depth
Nonlinear System Identification Using Particle Filters
Particle filters are computational methods opening up for systematic inference in nonlinear/non-Gaussian state-space models. The particle filter constitute the most popular sequential Monte Carlo (SMC) method....
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Living Reference Work Entry In depth
Stock Trading via Feedback Control Methods
This article covers stock trading from a feedback control point of view. To this end, mechanics and practical considerations associated with the use of feedback algorithms are explained for both real-world tra...
-
Living Reference Work Entry In depth
Deep Learning in a System Identification Perspective
The use of deep learning for sequence learning problems and system identification are intimately linked, and interesting opportunities exist on this cross section. The aim of this chapter is to briefly introdu...
-
Living Reference Work Entry In depth
Motion Description Languages and Symbolic Control
The fundamental idea behind symbolic control is to mitigate the complexity of a dynamic system by limiting the set of available controls to a typically finite collection of symbols. Each symbol represents a co...
-
Living Reference Work Entry In depth
Automated Insulin Dosing for Type 1 Diabetes
The development of automated insulin delivery (also known as a closed-loop artificial pancreas) systems has been an active research area since the 1960s, with an intense focus since 2005. In the United States ...
-
Living Reference Work Entry In depth
Non-raster Methods in Scanning Probe Microscopy
Scanning probe microscopy (SPM) refers to a family of technologies for probing systems with nanometer-scale features in which a probe interacts with a sample. Traditionally, images of a signal of interest are ...
-
Living Reference Work Entry In depth
Nonlinear System Identification Using Particle Filters
Particle filters are computational methods opening up for systematic inference in nonlinear/non-Gaussian state-space models. The particle filter constitute the most popular sequential Monte Carlo (SMC) method....
-
Reference Work Entry In depth
Motion Description Languages and Symbolic Control
The fundamental idea behind symbolic control is to mitigate the complexity of a dynamic system by limiting the set of available controls to a typically finite collection of symbols. Each symbol represents a co...
-
Reference Work Entry In depth
Moving Horizon Estimation
Moving horizon estimation (MHE) is a state estimation method that is particularly useful for nonlinear or constrained dynamic systems for which few general methods with established properties are available. Th...
-
Reference Work Entry In depth
Optimal Control and Pontryagin’s Maximum Principle
Pontryagin’s Maximum Principle is a collection of conditions that must be satisfied by solutions of a class of optimization problems involving dynamic constraints called optimal control problems. It unifies ma...
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Reference Work Entry In depth
Stock Trading via Feedback Control
This article covers stock trading from a feedback control point of view. To this end, the mechanics and practical considerations associated with the use of feedback-based algorithms are explained for both real...
-
Reference Work Entry In depth
Nonlinear System Identification Using Particle Filters
Particle filters are computational methods opening up for systematic inference in nonlinear/non-Gaussian state-space models. The particle filters constitute the most popular sequential Monte Carlo (SMC) method...
