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Jump random noises exist widely in control systems. In this paper, the guaranteed cost control problem for uncertain systems perturbed by jump random noises is considered. By adopting Poisson process to describe jump random noises, this paper utilize martingale theory to design a controller, which can stabilize such stochastic systems and guarantee the specified cost function has an upper bound.
Lately, it has been developed many studies related to the control of uncertain systems, one reason for this studies is because it is hard to precisely describe a system, therefore the process is expressed as uncertain systems. One way to represent an uncertain system is by describing the model as a convex combination of several knownmodels. In this paper a state feedback controller is designed for...
With the aid of double-controller design concept and particle swarm optimization (PSO) algorithm, an internal model control (IMC) scheme with two-degree-of-freedom (TDF-IMC) based on PSO algorithm (PSO-TDF-IMC) is proposed, which is capable of controlling large time-delay processes. This method takes integral time absolute error (ITAE) index as objective function and uses PSO algorithm to optimize...
Owing to the complexity of sampling processes and running environment of the system, it is hard to avoid abnormal data such as outliers as well as patchy outliers, which widely emerge out of the sampling series. These abnormal data have remarkably bad impact on state estimation, process monitoring, process control as well as safe running of the dynamic system. In this paper, a detailed review is given...
This paper deals with robust static output control of both differential and discrete linear repetitive processes. Extended linear matrix inequality characterizations of the stability conditions are first introduced to reduce conservatism of known results and transform to the form suitable for static output controller synthesis and robust control. The design of static output controller is performed...
The problem of spatial sensor location under parametric uncertainty of the repetitive distributed-parameter process is discussed. The idea is to reduce the uncertainty of the model used for the design of the iterative learning control, thus increasing the system performance. Particularly, an iterative scheme for estimation of the system parameter distributions is proposed based on the sequential experimental...
This paper studies the performance of a fractional-order proportional integral derivative (FOPID) controller designed for parabolic distributed solar collectors. The control problem addressed in concentrated solar collectors aims at forcing the produced heat to follow a desired reference despite the unevenly varying solar irradiance. In addition to the unpredictable variations of the energy source,...
In this paper, an enhanced form of modified Smith predictor (EMSP) is designed for the control of higher order stable systems. The higher order process, whose controller design is practically difficult, is reduced into first order plus delay (FOPDT) and second order plus delay (SOPDT) and thereby designing controllers capable to control servo and regulatory problems of its original higher order process...
A model-based control design method is developed for nonlinear reactive sputter processes that can be modelled by a nonlinear ordinary differential equation with linear input and stable and unstable equilibrium states. The controller shall robustly stabilize the unstable working points. Lyapunov's direct method is used to formulate stability conditions that respect possible uncertainties in the process...
This paper studies the problem of high-precision positioning of laser beams by using a robust Fractional-Order Proportional-Integral-Derivative (FOPID) controller. The control problem addressed in laser beams aims to maintain the position of the laser beam on a Position Sensing Device (PSD) despite the effects of noise and active disturbances. The FOPID controller is well known for its simplicity...
This paper investigates the stabilization problem for a class of nonlinear time-delay Hamiltonian systems with actuator saturation and input delay, and proposes delay-independent and delay-dependent results on the systems by applying Lyapunov-Krasovskii (L-K) functional method. Different from existing methods, we construct a suitable L-K functional to overcome the input delay problems, obtain some...
This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional (2D) weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process...
Further research based on the author's past work in [1] is performed in this paper. A structural robust gain-scheduled (GS) PID control method is proposed and applied to control the pitch angle for a morphing wing UAV(MUAV) in its transient process. Firstly, the author gives the robust static output feedback (SOF) control method for LPV system and shows that PID control is equivalent to SOF control,...
This paper proposes a novel method to graphically compute all feasible gain and phase margin specifications-oriented robust and optimal fractional PID controllers to stabilize time delay processes (TD) of any order. The gain-phase margin tester method is utilized to guarantee the concerned systems certain robust safety margins and test the constant gain margin boundary, constant phase margin boundary,...
In this paper, Maclaurin expansion and Padé approximation are utilized to handle the RHP zeros in the simplified decoupling control and the choosing strategy is given. To improve the robustness of each loop, Active Disturbance Rejection Control (ADRC) is adopted as a good solution which can estimate and compensate the total disturbances by the extended state observer (ESO). Besides, the stability...
Headbox is the key component in a paper machine which has a significant effect on product quality. In this paper, a hybrid model which combines mixing tank and air-cushioned headbox is proposed. In the hybrid model, the mixing tank is taken into consideration, which makes the consistency of pulp controllable. An internal model controller with both good control effect and strong robustness is designed...
We propose a new event-generating rule for event-triggered control of nonlinear systems with external disturbances. We consider control systems that are input-to-state stabilizable with the external disturbance and the sampling errors as the inputs. By introducing a decision-making process in the event trigger, our sampling intervals are guaranteed to be larger than a positive lower bound. Moreover,...
This paper investigates the periodic disturbance rejection control of time-delay process by integrating a modified disturbance observer (MDOB) and internal model control (IMC) structure. A modified disturbance observer design method based on zero-pole placement is proposed. By the MDOB, periodic disturbance can be accurately estimated and the estimation is used as compensation to suppress disturbance...
For the non-integer order process with time-delay, a design and tuning method of two-degree-of-freedom fractional order internal model controller is proposed. This method can over the disadvantages of single-degree-of-freedom PID controller that can not achieve the best performance of the command tracking characteristic and disturbance rejection characteristic at the same time. The time-delay term...
This paper utilizes the quantitative feedback theory (QFT) to design a robust controller for adaptive cutting feedrate control. The proposed algorithm could dynamically change the feedrate according to the spindle current which is highly related to the measured cutting force. The QFT controller could provide the constant cutting force even under different cutting condition. Hence, the machining efficiency...
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