[PDF] Top 20 Hybrid system based adaptive control for the nonlinear HVAC system
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Hybrid system based adaptive control for the nonlinear HVAC system
... an adaptive controller for the non- linear MIMO HVAC system which is modelled to have some unknown parameters, to achieve robust and good heating, ventilating, and air conditioning ... See full document
6
Nonlinear and Switching Control for the HVAC System
... modern HVAC systems, how to control and optimize the operation with guaranteed perfor- mance, stability and reliability becomes a challenging issue since the air conditioning process is highly ... See full document
6
Supervised nonlinear control of hybrid system with application to HVAC system
... Automaton model of heating subsystem G,, is composite by 7 individual automaton models. Cooling Subsystem-. The cooling subsystem G, is composite by 10 individual automaton m[r] ... See full document
6
Design of adaptive fuzzy sliding mode for nonlinear system control
... fuzzy system. By introducing the sliding mode to the FLC and fuzzifying the sliding surface, the FSMC has a fuzzy sliding mode which is similar to crisp sliding mode b[r] ... See full document
5
Adaptive hybrid intelligent control for uncertain nonlinear dynamical systems
... Adaptive Hybrid Intelligent Control for Uncertain Nonlinear Dynamical Systems Chi-Hsu Wang, Senior Member, IEEE, Tsung-Chih Lin, Tsu-Tian Lee, Fellow, IEEE, and Han-Leih Liu Abstract—A ... See full document
15
Nonlinear System Control Using Adaptive Neural Fuzzy Networks Based on a Modified Differential Evolution
... (MODE) for an ANFN (ANFN-MODE). The proposed MODE learning algorithm has two crucial ...between the best-so-far individ- ual and randomly chosen individuals, and employs an adaptive parameter ... See full document
15
Observer-based adaptive sliding mode control for pneumatic servo system
... with the adaptive sliding mode control theory is proposed to deal with a nonlinear pneumatic servo system characterized with input dead- zone, unknown system function, and ... See full document
4
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
... on the proposed FLNFN model should be addressed in future ...First, the FLNFN model will tend to apply high-order nonlinear or overly complex systems if it can suitably adopt the consequent ... See full document
17
The Hybrid RFNN Control for a PMSM Drive System Using Rotor Flux Estimator
... on the applications of fuzzy neural network (FNN) systems, which have the advantages of both fuzzy systems and neural networks, in the control fields to deal with nonlinearities and ... See full document
6
An adaptive network control scheme for region-based hybrid coding algorithm
... Based on the packet loss rate and the frame loss rate experiment in the practical Intemet environment, a novel adaptive network control scheme is proposed for region-base[r] ... See full document
4
Application of the Brake by Wire System for Adaptive Cruise Control System 蘇耿毅、張一屏
... Warning System Simulation,” Proceeding of the IEEE, Intelligent Vehicle Symposium, ...controller for autonomous intelligent cruise control a preliminary design,” Proceedings of the ... See full document
2
Model reference adaptive control for a piezo-positioning system
... having the characteristic of infinitely small displacement resolution are popularly applied as actuators in precision positioning ...its nonlinear hysteresis effect, the tracking control ... See full document
4
Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems
... direct adaptive fuzzy-neural control scheme is presented for nonaffine nonlinear systems in the presence of unknown structure of ...design the output feedback control law, ... See full document
9
Comparison of Three Force-Position Hybrid Control Methods of a Robot-Based System for Biomechanical Testing of the Knee Joint
... in the study of joint biomechanics over the last ...force-position hybrid control method, meas- uring the stiffness of one degree-of-freedom (DOF) of the joint while keeping ... See full document
1
High-Order Hopfield-based Neural Network for Nonlinear System Identification
... IV, the identification diagram of magnetic levitation system has been ...However, the design structure is not complete because there are no updates to the weighting ...section, the ... See full document
6
Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system
... in the sense of the adaptive backstepping control ...technique. The SFS with simultaneous structure and parameter learning is used to on-line estimate the controlled ... See full document
13
Wavelet adaptive backstepping control for a class of nonlinear systems
... Wavelet Adaptive Backstepping Control for a Class of Nonlinear Systems Chun-Fei Hsu, Member, IEEE, Chih-Min Lin, Senior Member, IEEE, and Tsu-Tian Lee, Fellow, IEEE Abstract—This paper ... See full document
9
Design the Remote Control System With the Time-Delay Estimator and the Adaptive Smith Predictor
... that the delay is constant or bounded. The NCS with time-varying character- istics makes modeling and design for NCS more ...difficult. The total time-delay can be categorized into three ... See full document
8
Dynamic Game-Based Analysis for a Hybrid Multi-Agent Robotic System
... of the dynamic game of the Hybrid Multi-Agent Robotic System (HMARS) is proposed for dealing with the formation problem of multiple robots with leaders and ...Under the ... See full document
11
Predictive adaptive control system for unmeasured disturbances
... The compensation is arranged as a feedforward control and is appended to a feedback control loop, either a conventional or optimal state feedback one.. In this manner, the system poss[r] ... See full document
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