Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey
This survey presents recent research on determining control-theoretic properties and
designing controllers with rigorous guarantees using semidefinite programming and for …
designing controllers with rigorous guarantees using semidefinite programming and for …
A historical perspective of adaptive control and learning
This article provides a historical perspective of the field of adaptive control over the past
seven decades and its intersection with learning. A chronology of key events over this large …
seven decades and its intersection with learning. A chronology of key events over this large …
[ספר][B] Adaptive control tutorial
Adaptive control evolved over the years to become an accepted subject taught in many
schools as an advanced control course. A good understanding of adaptive control involves a …
schools as an advanced control course. A good understanding of adaptive control involves a …
Concurrent learning adaptive control of linear systems with exponentially convergent bounds
Concurrent learning adaptive controllers, which use recorded and current data concurrently
for adaptation, are developed for model reference adaptive control of uncertain linear …
for adaptation, are developed for model reference adaptive control of uncertain linear …
Adaptive control of mechanical manipulators
When an accurate dynamic model of a mechanical manipu lator is available, it may be used
in a nonlinear, model-based scheme to control the manipulator. Such a control formula tion …
in a nonlinear, model-based scheme to control the manipulator. Such a control formula tion …
A new adaptive law for robust adaptation without persistent excitation
A new adaptive law motivated by the work of loannou and Kokotovic (1983) is proposed for
the robust adaptive control of plants with unknown parameters. In this adaptive law the …
the robust adaptive control of plants with unknown parameters. In this adaptive law the …
Adaptive control and intersections with reinforcement learning
This article provides an exposition of the field of adaptive control and its intersections with
reinforcement learning. Adaptive control and reinforcement learning are two different …
reinforcement learning. Adaptive control and reinforcement learning are two different …
Bayesian nonparametric adaptive control using Gaussian processes
Most current model reference adaptive control (MRAC) methods rely on parametric adaptive
elements, in which the number of parameters of the adaptive element are fixed a priori, often …
elements, in which the number of parameters of the adaptive element are fixed a priori, often …
Approximate optimal trajectory tracking for continuous-time nonlinear systems
Adaptive dynamic programming has been investigated and used as a method to
approximately solve optimal regulation problems. However, the extension of this technique …
approximately solve optimal regulation problems. However, the extension of this technique …
Gaussian processes for learning and control: A tutorial with examples
Many challenging real-world control problems require adaptation and learning in the
presence of uncertainty. Examples of these challenging domains include aircraft adaptive …
presence of uncertainty. Examples of these challenging domains include aircraft adaptive …