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This paper presents a grey predictive control method for a class of nonlinear systems with unknown input delay. By using BP neural network, the unknown input delay is identified firstly. The system output is then estimated by the grey predictive algorithm. The output feedback control is fulfilled by PID algorithm which is used to tune its three parameters. By means of combining grey predictive algorithm...
The paper discusses relationships between the H∞ preview control and the standard H∞ control, between the H∞ fixed-lag smoothing and the H∞ filtering. It is easy to understand intuitively that the H∞ preview control problem is inevitably solvable if the standard H∞ control problem for the identical system is solvable and that the H∞ fixed-lag smoothing problem is solvable as the H∞ filtering problem...
A model predictive control (MPC) is proposed for underactuated surface vessel (USV) with constrained invariant manifolds. Aimed at the special structure of USV, the invariant manifold under the given controller is constructed in terms of diffeomorphism and Lyapunov stability theory. Based on the constrained invariant manifolds, a solution to make a nonliner model predictive controller is proposed...
Most of existing active queue management (AQM) algorithms were designed on the fluid model of TCP/AQM dynamics which ignores the slow start and TCP timeout mechanism. Modeling TCP flows more precisely is very important to study AQM performance. To address this problem, this paper develops the step response model of TCP/AQM network based on the dumbbell topology in NS2. Then a novel AQM algorithm (DM-AQM)...
In this paper, robust model predictive control approach is proposed for time-delay systems with structured uncertainty, which has rarely been addressed in the literature. Using the control invariant set and linear matrix inequalities (LMIs), the control approach could stabilized the time-delay systems with structured uncertainty. The effectiveness of the proposed approach is verified by simulation...
In communication channel of a tele-operation control task, there always exists a time-delay problem which causes poor performance and even instability of the system. To overcome the time-delay problem, in this paper, the Smith predictor configuration is considered. The Smith predictor can stabilize the system by taking the time delay term out of the characteristic equation when the system model is...
Constrained generalized predictive algorithm is employed to load frequency control in this paper. Generation rate constraint (GRC) has been considered. Using the linearization modeling technique, this paper deals with load frequency control by multivariable generalized predictive control method to build Controlled Auto-Regressive Integrated Moving Average model (CARIMA) and obtain generalized predictive...
An improved method of synthesizing constrained robust model predictive controller for systems with polytopic description is proposed. A continuum of terminal constraint sets depending on an external variable is constructed offline, and the robust stability is achieved online with a variable control horizon and a time varying terminal constraint set by solving the minmax optimization problem, which...
Model predictive control (MPC) is to solve an optimization problem for a finite future at current time and to implement the first optimal control input as the current control input. To improve the performance of the Stirred Tank Reactor, a new method based on predictive hierarchical control was introduced. As a modification of the regulatory controller usually implies higher costs, it is a common...
This paper researches and validates a predictive modeling method for complex industrial environment. Via combining industrial field data with system mechanism, the paper analyzes the technology of industrial data pretreatment and establishes the impulse response model of cement decomposing furnace temperature, then explores the model adjusting method. The paper compares the modeling performance between...
Exo-atmospheric Interceptor with pulse thruster was researched. Firstly, considering with the measurement noise of rotation rate of LOS (line of sight) and error of estimating relative distance between missile and target, the LOS rate was predicted by the state, control input, measurement noise of LOS and estimation error of relative distance on current moment. Secondly, the On-Off guidance law was...
MPC is a kind of computer control algorithm based on predictive model of the industry process. The classic MPCs, which are all based on linear predictive models, are unfit for the strong-nonlinearity control systems. This paper proposed a nonlinear one-step predictive model based on a two-layer BP Neural Network through consulting to the math expression of NARMAX model and constructed a one-step model...
To solve the control problem of complex nonlinear system, a control strategy based on Data-drive is proposed. The method builds the local model on-line based on lazy learning algorithm, obtains the optimal control by solving the quadratic optimization problem formulated in a novel generalized predictive control framework, as a result, its adapting and anti-jamming are powerful. Further more, by using...
A practical predictive control algorithm which can be designed for embedded systems is proposed suitable to temperature control of heating furnaces. The control algorithm is implemented by establishing the model of heating furnaces and calculating its model parameters online. The computational load of this algorithm is very small since the complex matrix computing can be avoided. Besides, the temperature...
A algorithm of Generalized Predictive Control (GPC) based on Least Squares Support Vector Machines (LS-SVM) inverse system method is presented for a Class of Industrial Process with strong nonlinearity. The method cascades the α th-order inverse model approximated by LS-SVM with the original system to get the composite pseudo-linear system. The predictive model of the pseudo-linear system is built...
The impact fault of the hybrid machine tool were considered as the analysis object in this paper. The kinematics control principle of the hybrid machine tool was given as well as the causes of the impact based on the hybrid structure. The impact suppression method was given, which based on the preview-control algorithm. It was confirmed by experiment that the impact was reduced which was account for...
The attitude regulation of exo-atmospheric interceptor can be realized via pulsed attitude-control thrusters for the lack of aerodynamics in an exo-atmospheric environment. The pulsed thruster can only generate constant force, considering of constraint on control input is required in the design of On-Off attitude control law. Firstly, the optimization problem of predictive control for system with...
In nonlinear model predictive control (NMPC), the system performance is greatly dependent upon the accuracy of the predictive model and the efficiency of the online optimization algorithm. In this paper, a novel NMPC scheme with the integration of Support Vector Machine (SVM) and recently proposed general-purpose heuristic “Extremal Optimization (EO)” is presented. With the superior features of self-organized...
A Fast generalized predictive control algorithm is proposed for a class of system requirement of non-overshoot based on integrating stair-like GPC and varying trend of control increments. The heavy on-line computation burden for computing inverse matrix is avoided by single-valued GPC ,and current input increment is compensated by next step input to overcome potential overshoot. The steps of the algorithm...
According to process requirements of Roller-hearth Normalizing Furnace, and non-linear characteristics of the temperature, the paper proposes a new nonlinear system prediction control algorithm instead of the tradition, which the accuracy of model is not high. The new control algorithm uses least squares support vector machine (LSSVM) optimized by improved particle swarm optimization (APSO) to establish...
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