This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation error is formulated. A series of polyhedrons is desig...
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ISBN:
(纸本)9781467374439
This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation error is formulated. A series of polyhedrons is designed for uncertainty propagation of the augmented system and handling probabilistic constraints. In particular, the polyhedron of estimation error is maintained over the repeated optimization such that the real system state is properly estimated. The resultant optimization problem of the controller is quadratic programming and is solved efficiently. A numerical example is given to illustrate performance of the controller.
The synchronized trajectory tracking control problem of multiple mobile robots under actuator faults is studied in this *** take the communication delays into consideration in system design and do not require that the...
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ISBN:
(纸本)9781538629185
The synchronized trajectory tracking control problem of multiple mobile robots under actuator faults is studied in this *** take the communication delays into consideration in system design and do not require that the network topology is symmetric.A distributed control design approach is proposed by incorporating the synchronized formation control method and a sufficient condition is obtained to guarantee the asymptotic convergence of both the position error and synchronization error of each *** results validate that the proposed approach achieves synchronized trajectory tracking tasks under unidirectional topologies with actuator faults and coupling delays.
Smart grid, a concept proposed in 2003, is now attracting more and more attention because of its ability to integrate intensive information and renewable energy generating infrastructures. This paper focuses on schedu...
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ISBN:
(纸本)9781479947249
Smart grid, a concept proposed in 2003, is now attracting more and more attention because of its ability to integrate intensive information and renewable energy generating infrastructures. This paper focuses on scheduling charging process between multiple electric vehicles and charging stations in smart grid with renewable energy and storage devices. From the perspective of the whole system, the goal of minimizing the time average electricity cost with time-varying electricity price can be reached in this paper. With the participation of storage devices, charging-station-private renewable generation and electric vehicles power demands, we mathematically formulate a stochastic optimal problem and address it by employing Lyapunov optimization methods. Through mathematical derivation, stability of storage devices is achieved. Meanwhile, the upper bound for time average electricity cost can be calculated. The feature of our research is the independence on stochastic distribution of demand and renewable generation. Simulation results show the convergence of storage device state of charging(SOC) and illustrate the efficiency and performance of our algorithm.
In security-critical applications, malicious Trojan Horses embedded in a CPU core could impose great threats on the security of an SoC. In this work, we propose a "Trojan-Horse detection framework"using a cr...
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This paper develops distributed algorithms for solving Sylvester *** authors transform solving Sylvester equations into a distributed optimization problem,unifying all eight standard distributed matrix *** the authors...
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This paper develops distributed algorithms for solving Sylvester *** authors transform solving Sylvester equations into a distributed optimization problem,unifying all eight standard distributed matrix *** the authors propose a distributed algorithm to find the least squares solution and achieve an explicit linear convergence *** results are obtained by carefully choosing the step-size of the algorithm,which requires particular information of data and Laplacian *** avoid these centralized quantities,the authors further develop a distributed scaling technique by using local information *** a result,the proposed distributed algorithm along with the distributed scaling design yields a universal method for solving Sylvester equations over a multi-agent network with the constant step-size freely chosen from configurable ***,the authors provide three examples to illustrate the effectiveness of the proposed algorithms.
The purpose of this paper is to present a new approach of thermal power plant model for accuracy improvement in the dynamic characteristics. As a result, an error is less then 0.7% in static characteristics and less t...
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ISBN:
(纸本)9788986510089
The purpose of this paper is to present a new approach of thermal power plant model for accuracy improvement in the dynamic characteristics. As a result, an error is less then 0.7% in static characteristics and less then 3.4% in dynamic characteristics simulation model differential of actual plant. This shows that the accuracy of the proposed model is three times as much as a standard one.
The uncertainty of wireless communication seriously affects the control performance of the platoon. In this paper, a model predictive control (MPC) method based on dynamic event-triggering is proposed to address the i...
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Although particle filters have been widely applied from various fields,the impoverishment and degeneration of particle are important factors affecting the performance of particle *** this paper,harmony search was intr...
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ISBN:
(纸本)9781467397155
Although particle filters have been widely applied from various fields,the impoverishment and degeneration of particle are important factors affecting the performance of particle *** this paper,harmony search was introduced into the particle resampling to enhance the *** updating the vector of harmony memory through the weight based multinomial resampling,the impoverishment and degeneration of particle was efficiently *** results showed that the harmony search resampling particle filters had more accurate filtering results than other typical filters such as system resampling filter.
In this article, the observer-based H ∞ $$ {H}_{\infty } $$ proportional-integral-derivative (PID) control problem is studied for a class of singular perturbed systems with randomly switching nonlinearities. During t...
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In this article, the observer-based H ∞ $$ {H}_{\infty } $$ proportional-integral-derivative (PID) control problem is studied for a class of singular perturbed systems with randomly switching nonlinearities. During the modeling process, a set of binary random sequences is introduced to describe the random behaviors of the nonlinear switching encountered in engineering practice. Considering the singular perturbation parameter (SPP), an observer-based H ∞ $$ {H}_{\infty } $$ PID controller is constructed for the concerned singularly perturbed systems (SPSs), where the state information is estimated. To improve communication efficiency and reduce resource waste, a dynamic event-triggered mechanism is employed during the measurement transmission. Meanwhile, an SPP-dependent Lyapunov-Krasovskii function is utilized to derive conditions under which the closed-loop system is guaranteed to be stochastically stable with the desired H ∞ $$ {H}_{\infty } $$ performance under a specified upper bound on the SPP. All the desired observer and controller gains are determined by solving a set of matrix inequalities. Finally, the effectiveness and superiority of the suggested PID control method are verified through a simulation example.
In this paper,finite-time attitude synchronization problem for spacecraft formation flying is investigated without angular velocity *** output feedback control law combined with a filter is developed by using the homo...
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ISBN:
(纸本)9781479947249
In this paper,finite-time attitude synchronization problem for spacecraft formation flying is investigated without angular velocity *** output feedback control law combined with a filter is developed by using the homogenous system theory,which can ensure the attitude of spacecraft in the formation synchronized in a finite time with zero finial angular *** proof is carried out to demonstrate finite-time stability of the closed-loop system ***,numerical simulation results show the effectiveness of proposed control law.
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