The problem of interval observer design is studied for a class of linear hybrid systems. Several observers are designed oriented on different conditions of positivity and stability for estimation error dynamics. Effci...
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This paper presents the implementation of the hybrid spiral-dynamic bacteria-chemotaxis (HSDBC) approach to control two different configurations of a two-wheeled vehicle. The HSDBC is a combination of bacterial chemot...
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This paper presents the implementation of the hybrid spiral-dynamic bacteria-chemotaxis (HSDBC) approach to control two different configurations of a two-wheeled vehicle. The HSDBC is a combination of bacterial chemotaxis used in bacterial forging algorithm (BFA) and the spiral-dynamic algorithm (SDA). BFA provides a good exploration strategy due to the chemotaxis approach. However, it endures an oscillation problem near the end of the search process when using a large step size. Conversely; for a small step size, it affords better exploitation and accuracy with slower convergence. SDA provides better stability when approaching an optimum point and has faster convergence speed. This may cause the search agents to get trapped into local optima which results in low accurate solution. HSDBC exploits the chemotactic strategy of BFA and fitness accuracy and convergence speed of SDA so as to overcome the problems associated with both the SDA and BFA algorithms alone. The HSDBC thus developed is evaluated in optimizing the performance and energy consumption of two highly nonlinear platforms, namely single and double inverted pendulum-like vehicles with an extended rod. Comparative results with BFA and SDA show that the proposed algorithm is able to result in better performance of the highly nonlinear systems.
This paper investigates a novel fault tolerant control scheme to handle actuator faults in nonlinear systems based on policy iteration algorithm with fault observer. The fault observer is established to estimate the a...
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ISBN:
(纸本)9781467384155
This paper investigates a novel fault tolerant control scheme to handle actuator faults in nonlinear systems based on policy iteration algorithm with fault observer. The fault observer is established to estimate the actuator fault, which is used to construct an improved performance index function that reflects the fault, regulation and control simultaneously. With the help of the proper performance index function, the FTC problem is transformed into an optimal control problem. By constructing a critic neural network, the Hamilton-Jacobi-Bellman equation can be solved by using policy iteration algorithm, and then the approximated fault tolerant controller can be obtained directly. The closed-loop system is guaranteed to be uniformly ultimately bounded based on the Lyapunov's direct method. Simulation example is given to verify the effectiveness of the developed FTC scheme.
The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Then its connections ...
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The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Then its connections to various topics and research areas are briefly discussed, including order determination, pattern recognition, data mining, machine learning, statistical regression and manifold embedding. Finally, some results of variable selection in system identification in the recent literature are presented.
In this paper we study the estimation of changing trends in time-series using 1trend filtering. This method generalizes 1D Total Variation (TV) denoising for detection of step changes in means to detecting changes in ...
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An Immersion and Invariance-based command filtered back-stepping control, is addressed for non-linearly parameterized pure-feedback systems, which avoids the complicate analytic derivatives in traditional back-steppin...
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ISBN:
(纸本)9781467374439
An Immersion and Invariance-based command filtered back-stepping control, is addressed for non-linearly parameterized pure-feedback systems, which avoids the complicate analytic derivatives in traditional back-stepping design. In the underlying control scheme, integral sliding-mode filters are designed to approximate the virtual control derivatives, to solve the nd in pure feedback system. The resulting closed-loop system consists of controller-filter pair, which both satisfy the input-to-state stability(ISS) property, providing the celebrated small-gain theorem can be exploited to guarantee the stability of closed-loop system. Referring to the issue of non-linearly parameterized uncertainty, adaptive laws are derived via Immersion and Invariance technique. Numerical simulations are included to illustrate the effectiveness of proposed control scheme.
This paper investigates the stability of discrete-time linear systems with stochastic delays. We assume that delays are modeled as random variables, which take values in integers with a certain probability. For the sc...
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The paper proposes a fault-tolerant control strategy for a two-phase permanent magnet synchronous motor (PMSM) by a structural alteration. Firstly, a two-phase PMSM is designed with a structure of combination with two...
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ISBN:
(纸本)9781509010332
The paper proposes a fault-tolerant control strategy for a two-phase permanent magnet synchronous motor (PMSM) by a structural alteration. Firstly, a two-phase PMSM is designed with a structure of combination with two conventional single-phase U-core PMSMs. Each has a self-start ability because of the step air gap design on the inner side of stator, and two sets of magnet in the motor are placed as 90 electrical angle shift. If one is fault, the other can work continually. Secondly, a drive with the space vector modulation (SVM) technique is designed for the proposed system. Considering the possible faults, a fault-tolerant technique is proposed to improve the system robustness. The experimental results show the validity of the proposed system.
In this paper, we propose a method to establish a networked control system that maintains its stability in the presence of certain undesirable incidents on local controllers. We call such networked controlsystems wea...
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ISBN:
(纸本)9781509025923
In this paper, we propose a method to establish a networked control system that maintains its stability in the presence of certain undesirable incidents on local controllers. We call such networked controlsystems weakly resilient. We first derive a necessary and sufficient condition for the weak resilience of networked systems. Networked systems do not generally satisfy this condition. Therefore, we provide a method for designing a compensator which ensures the weak resilience of the compensated system. Finally, we illustrate the efficiency of the proposed method by a power system example based on the IEEE 14-bus test system.
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