Examples of using Adaptive control in English and their translations into Vietnamese
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Reinforcement learning and adaptive control.
The foundation of adaptive control is parameter estimation.
Adaptive controls were applied for the first time in the Aircraft industry in the 1950s, and have found particular success in that field.
Classification of adaptive control techniques.
Load Adaptive Control adjusts the Electronic Stability Control, according to the overall weight you're carrying.
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Typical applications of adaptive control are(in general).
When designing adaptive control systems, special consideration is necessary of convergence and robustness issues.
Hence, there are several ways to apply adaptive control algorithms.
Should choose adaptive control system and variable air volume or fixed air volume;
There are several broad categories of feedback adaptive control(classification can vary).
Try installing adaptive controls for these devices so they turn on and off automatically when necessary.
One model is chosen at every instant,which is closest to the plant according to some metric.[2] Adaptive Control with Multiple Models.
Some special topics in adaptive control can be introduced as well.
Adaptive control has even been merged with intelligent techniques such as fuzzy and neural networks and the new terms like fuzzy adaptive control has been generated.
Combined with a new adaptive suspension system called Genesis Adaptive Control Suspension, the all-wheel-drive system promises to offer ride comfort and road holding comparable to the German brands.
These updated techniques include different developments in optimal control in the 1950s and 1960s, followed by progress in stochastic, robust,optimal and adaptive control techniques in the 1970s and the 1980s.
The ideal control system is an adaptive control system that can continuously change machining parameters.
These updated methods comprise various developments in optimal control during the 1950s and 1960s, followed by development in robust, stochastic,optimal and adaptive control methods in the 1970s and the 1980s.
The ideal control system is the adaptive control system which can change the processing parameters continuously.
In the artificial intelligence field, artificial neural networks have been applied successfully to speech recognition,image analysis and adaptive control, in order to construct software agents(in computer and video games) or autonomous robots.
Any of the systems with adaptive controls- suspension, steering, transmission, and throttle- can be toggled through a set of drive modes, from Comfort to Economy, Sport, and Sport+.
In special cases the adaptation can be limited to the static behavior alone,leading to adaptive control based on characteristic curves for the steady-states or to extremum value control, optimizing the steady state.
In contrast with an adaptive control policy, a robust control policy is static; rather than adapting to measurements of variations, the controller is designed to work assuming that certain variables will be unknown but bounded.[2][3].
Bezel Watch Case The ideal control system is an adaptive control system that can continuously change machining parameters Although the system itself is very complex and expensive it can improve machining efficiency and quality The development of….
Adaptive Control Based on Discrete-Time Process Identification Adaptive Control Based on the Model Reference Technique Adaptive Control based on Continuous-Time Process Models Adaptive Control of Multivariable Processes Adaptive Control of Nonlinear Processes.
