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The following topics are dealt with: adaptive control; stability and control of time-delay systems; aerospace applications; agent networks; filtering and observer design; stability and control of hybrid and singular systems; networked control systems; tracking; stability of delay systems; UAVs and flight control; agents and autonomous systems; estimation; linear matrix equality methods; control over...
In this paper we discuss the estimation of a moving target by cooperative agents equipped with sensors. To locate a moving target, a distributed algorithm is given for the networked agents based on a time-based shift. A nonlinear filter with fusing collected sensor information is proposed to estimate the trajectory of the target with unknown dynamics. The convergence of the estimation in the sensor...
Estimation fusion for multisensor asynchronous sampling system is currently a hot subject of research. Under the assumption with independent and uncorrelated noises, some asynchronous fusion algorithms have been provided. Unfortunately, the general optimal solution with real-time update performance in linear minimum mean square error (LMMSE) hasn't been given up to now. Simultaneously, it is difficult...
The problem of joint input and state estimation is addressed in this paper for linear discrete-time stochastic systems without direct feedthrough from unknown inputs to outputs. With the weighted least squares estimation for an extended state vector including unknown inputs and states, a recursive filter approach referred to as Kalman filter with unknown inputs without direct feedthrough (KF-UI-WDF)...
The short-term/long-term model proposed by Schwartz and Smith in 2000 is widely used in modeling commodity prices. A key and nontrivial problem in this modeling technique is how to estimate the model parameters. This paper considers the parameter estimation problem based on the maximum likelihood criterion and proposes a method to simplify the task. Two components are contained in the proposed method:...
In this paper we consider the state estimation carried over a sensor network. At each time step, only a subset of all sensors are selected to send their observations to the fusion center, where a Kalman filter is implemented to perform the state estimation. The sensors are selected to maximize the lifetime of the network while maintaining a desired quality of state estimation accuracy. We propose...
Based on a closed-loop step response test, a model identification method is proposed for integrating processes with time delay in this paper. By introducing a damping factor to the closed-loop step response for realization of the Laplace transform, a frequency response estimation algorithm is developed in terms of the closed-loop control structure used for identification. Correspondingly, two model...
This paper concerns a problem of on-line model parameter estimations for multiple time-delay systems. In order to estimate unknown model parameters from measured state variables, we propose two schemes using the Lyapunov's direct method, called parallel and series-parallel model estimators, respectively. It is shown through a numerical example that the proposed parallel and series-parallel model estimators...
This paper proposes a backup attitude estimation scheme for small fixed-wing unmanned aerial vehicles (UAVs) in the event of gyroscopic failure. The attitude of the system is propagated in terms of 3 degrees-of-freedom (DoF) aircraft dynamics while a combined accelerometer and global positioning system (GPS) based attitude measurement scheme is used to update attitude errors. The uncertainties in...
A major difficulty affecting the control of product quality in industrial polymerization reactors is the lack of suitable on-line polymer property measurements. In this article, a predictive model of polymer properties is deduced for industrial polyethylene process based on the kinetics of ethylene polymerization. According to the approximation error upper bound of the deduced predictive model, a...
The limitation of network bandwidth leads to data dropout of communication which degrades performance of NCS. For motion control system implemented with NCS, the missing interpolation messages will cause motion error and it can be compensated by applying the message estimator. However, the distribution of the missing data will be more relevant to motion accuracy in NCS even with the same dropout rate...
A nonlinear multivariable adaptive decoupling PID control strategy based on multiple models and neural network is proposed for a class of uncertain discrete time nonlinear dynamical systems. The adaptive decoupling PID controller is composed of a linear adaptive PID decoupling controller, a neural network nonlinear adaptive PID decoupling controller and a switch mechanism. The PID parameters of such...
In this paper, an improved adaptive fault estimation algorithm is proposed for a class of polytopic linear parameter varying (LPV) systems. The conventional adaptive fault estimation design method suffers from low performance of the fault estimation and a strict equation constrain, so a novel fast adaptive fault estimation (FAFE) design method proposed in this paper not only enhances the performance...
In this paper, a new hybrid and switching framework is proposed for cooperative actuator fault estimation of formation flying satellites in deep space. The formation states are distributed among local detection and estimation filters. Each system mode represents a certain cooperative estimation scheme and communication topology among local estimation filters. The mode transition represents the reconfiguration...
Estimation of distribution algorithm (EDA) is a kind of evolutionary algorithm which updates and samples from probabilistic model in evolutionary course. The key of EDA is the construction of probability model suitable for real distribution. Gaussian distribution is widely used in EDAs but the assumption of normality is not realistic for many real-life problems. In this paper, a new EDA using kernel...
In this paper we present a novel claming force control method for electric parking brake systems without using force sensors. The control method consists of three steps for a simple control structure. First, we show how to approximately detect the initial contact point between brake pads and a brake disk with the angular velocity of motor. Second, the clamping force is estimated with the function...
In HVAC plants of medium-high cooling capacity, multiple-chiller systems are often employed. In such systems, chillers are independent of each other to provide standby capacity, operational flexibility, and less disruption maintenance. However, the problem of efficiently managing multiple-chiller systems is complex in many respects. In particular, the electrical energy consumption in the chiller plant...
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