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This note focuses on robust adaptive controller design for Hammerstein systems with symmetric dead-zone nonlinearity and bounded noise. A modified control law is proposed to compensate dead-zone nonlinearity and a new recursive estimator with a nonnegative data weighting is presented to deal with bounded noise. From convergence properties and global stability analysis, we show that parameter estimation...
In this paper a finite impulse response (FIR) filter for online adaptive modeling of satellite attitude control systems is proposed, and a recursive least squares (RLS) algorithm is used to adjust the adaptive FIR filter coefficients for minimizing the output error between the monitored system and the FIR filter. The fault information can be obtained through the analysis of the adaptive FIR filter...
To improve the performance of the glutamic acid fermentation process, a multivariable adaptive inverse control method is proposed considering nonlinear and multivariable coupling of the fermentation process. According to the characteristics of the fermentation process, the kinetics model and the simplified model are given and the reversibility of the model is analyzed. An adaptive inverse control...
To improve Maneuver Target Tracking Algorithm, The multi-model intelligent input estimating method based on fuzzy logic is proposed. A fuzzy inference system is constructed with the input of the residual of observation and the residual variation. Then we could get the real-time estimate of the maneuver input of the model according to the output of the system. The algorithm is optimized by the parameter...
The paper provides the adaptive feedforward control strategy of engine based on GT-power and simulink coupling simulation. This control strategy makes exhaust engine emission to meet the Chinese state emission standard V and pass the European transient cycle (ETC) test during the transient conditions. The results in load and speed sudden changing prove that the coupling model is suitable for developing...
Variable universe fuzzy control based on intelligent control technology is proposed in this paper for the hypersonic flight process of nearspace vehicle (NSV) with severe changes of aero-dynamic parameters and susceptibility on the external disturbances. And the contraction-expansion factor of the fuzzy control is given to modify the scale of universe and reduce the computational cost. By adopting...
The paper investigates the second-order leader-following consensus problem of nonlinear multi-agent systems via adaptive pinning control. Based on graph theory and the neighbor-based coupling rule, the adaptive pinning control strategy is proposed, the consensus condition is derived in terms of linear matrix inequalities. It is worth noting that this paper addresses that what kind of agents and how...
In order to improve forecasting model accuracy of BP neural network, an improved prediction method of optimized BP neural network based on modified particle swarm optimization algorithm (PSO) was proposed. In this modified PSO algorithm, an adaptive mutation operator was proposed in PSO to change positions of the particles plunged in the local optimization. The modified PSO was used to optimize the...
Characteristic modeling based all coefficients adaptive control was proposed by Academician Wu Hong-Xin in 1980s. The theory is motivated and gradually enhanced to completion in the past three decades. This theory and method have already been applied successfully to the reentry adaptive control of manned spaceships, automatic rendezvous and docking between Shenzhou-8, Shenzhou-9 and Tiangong-1, etc...
This paper focuses on the adaptive tracking problem for air-breathing hypersonic vehicles (AHVs) subject to aerodynamic uncertainties and unknown disturbances caused by modeling errors. Motivated by the nonlinear disturbance observer-based control approach (NDOBC), the parameter uncertainties are merged into the disturbances. A control law based on the tracking control method originally proposed by...
Standard Kalman Filtering leads to divergence because of inaccurate system model and noise statistic. Researchers have taken relative studies about Kalman filtering optimization method. But now most studies are based on applications, such as integrated navigation system, so most of these methods are lack of general applicability. This paper starts from innovation-based adaptive estimation (IAE) filtering...
In semiconductor manufacturing, it is important to produce multiple products on the same equipment to enhance the overall equipment effectiveness so as to improve the productivity. However, the “high-mix” production is difficult to control due to the time-varying model. To address this problem, an adaptive exponentially weighted moving average (EWMA) control method of which the core content is online...
An approximate dynamic programming (ADP) based supplementary learning control method is developed to online improve the performance of existing controllers. The proposed supplementary learning structure can make full use of the prior knowledge of the pre-designed controller and endow the controller with learning ability. Moreover, by introducing the action dependent value function for policy evaluation,...
Frequent construction safety accidents worldwide not only result in increased investment cost, but also seriously affect the sustainable development of the construction industry and social stability. Combined with lean thinking, the effectiveness of lean management was explored to reduce all kinds of construction accident with injury and improve enterprise performance. The relation between lean thinking,...
A novel ship electrical propulsion control system is designed based on an improved model-free adaptive control (MFAC). The improved vector control algorithm is presented based on the higher-order model-free adaptive control, this method can make full use of more ship sailing control information of prievious in order to improve the control performance by introducing higher-order learning law. Then...
Magnetic levitation system is a typical nonlinear and instable system. Based on the complexity and inaccuracy of modelling, in this paper identified magnetic levitation system using the speciality that neural network(NN) can approach any nonlinear function. A Radial Basis Function neural network (RBFNN) controller is designed based on the neural network adaptive control principle. This paper proposes...
This paper presents a characteristic modeling method for continuous/discrete time-varying nonlinear systems, where the model, the first-order time-varying differential equation, is a unified one. Learning identification algorithms are suggested for the purpose of parameter estimation, and the adaptive iterative learning control strategy is proposed for achieving the perfect tracking of the desired...
For the obvious characteristics of time-varying nonlinear controlled object, in order to improve the control performance, the appropriate adaptive control strategy could be used. Based on the research object system of a certain amount of input to control variables, according to Lyapunov stability theory, the research object system input/output variable a model reference adaptive control system was...
A session-based admission time ratio (ATR) feedback control mechanism is introduced in order to the control Internet load pressure. An auto-regressive moving average (CARIMA) system is described as the Internet load pressure model. The Model Reference Adaptive Controller (MRAC) based on feedback control and feedforward compensation is designed to adjust ATR, and feedback controller is used to statue...
The paper presents a new cerebellar feedback-error-learning model that meets the requirement of DIVA (Directions Into Velocities of Articulators) model, and constructs a cerebellar neuronal network model that consists of 900 granular cells, 10 Golgi cells, 50 basket/stellate cells, and 10 Purkinje cells based upon neuroanatomy. By applying the new cerebellar neuronal network model to the DIVA model...
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