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This paper deals with the problem of neural network delay control for an idealized offshore platform system. Two neural networks (feed-forward neural network and nonlinear autoregressive neural network) delay controllers are proposed to the vibration control of the offshore platform under external wave force. It is shown through simulation results that the designed neural network delay controllers...
Consideration was given to construction of a robust control law for a class of scalar nonlinear dynamic plants under conditions of uncertainty and saturation of a control signal. The synthesis of the control law relies on the hyperstability criterion, L-dissipativity conditions and using in the main circuit an explicit reference model with two outputs and low-inertia filter-corrector.
Multiple Cell Upsets (MCUs) induced by ionizing radiation in memories are becoming more likely to happen due to the continuous technology scaling down. Error Correction Codes (ECCs) are applied for recovering the stored information into its original state providing reliable computer systems. Several ECC are able to deal with MCUs, however, the higher the robustness of an ECC, more area, and energy...
A new method for reducing power and area of standard cell ASICs is described. The method is based on deliberately introducing clock skew without the use of extra buffers in the clock network. This is done by having some flipflops, called sources, generate clock signals for other flipflops, called targets. The method involves two key features: (1) the design of new differential flipflop, referred to...
In this paper, the problem of robust sliding mode control is studied for a class of discrete delayed nonlinear systems subject to randomly varying nonlinearities (RVNs) under uncertain occurrence probability. Here, the time-varying delay is bounded with known upper and lower bounds. The RVNs under uncertain occurrence probability are characterized by utilizing a Bernoulli distributed random variable,...
This paper deal with the problem of H∞ robust fault estimation for discrete time nonlinear system with a sector bounded nonlinear additive terms and multiple bounded state delay using the Takagi-Sugeno (T-S) fuzzy model. A fuzzy-fault estimation observer (FFEO) design is proposed to achieve fault estimation of T-S state delay models using fuzzy Lyapunov functions (FLF) with actuator and sensor faults...
In this paper, a kind of networked control of power-sharing for inverter parallel operation is presented. To increase the participation of communication and improve the system performance, both autonomous mode and master-slave of communication mode in networked control are investigated. Nevertheless, communication actions may bring some unpredictable outcome due to the negative factors such as time-delay...
In this paper, the delta operator is applied to describe the networked control system with time-varying delay and random packet loss. A robust fault detection filter based on the observer is proposed to generate the residual signal, thus making the residual systems to be asymptotically stable and satisfy the H-infinity performance in delta domain. The parameters of the designed fault detection filter...
This paper investigates the type-2 T-S fuzzy multiple feedback-loop guaranteed cost controller design for uncertain singular systems with transmission and state delays. Based on the type-2 T-S fuzzy theory, this work constructs a mathematical model for a class of nonlinear uncertain singular time-delay systems. Using the parallel distributed compensation concept with Lyapunov theory and linear matrix...
This paper investigates the problem of network-based fault-tolerant controller design for networked control systems (NCSs) in the presence of random delays and data packet dropouts. A novel actuator fault model which is more general and practical than the conventional actuator fault models is developed. Considering this new fault model, the NCSs are firstly modeled as a Markovian jump system (MJS)...
In photovoltaic grid-connected inverter based on the deadbeat current control, the filter inductance variation and one-step-delay control affect the distortion of the grid current, stability and dynamic of the system. In this paper, a fast robust PWM method for photovoltaic grid-connected inverter is proposed, which reduces the distortion of the grid current caused by the filter inductance variation,...
Periodic speed errors can occur in permanent magnet linear synchronous machines for two reasons: 1) a periodic reference signal; 2) cogging force and friction. For reducing such periodic errors, iterative learning control or repetitive control approaches, used in conjunction with more common control actions, can be strongly effective. However, the design of the stability filter, robustness filter...
In this paper, the robust distributed state estimation problem is investigated for a class of discrete-time nonlinear delayed systems over sensor networks with redundant channels. In order to improve the reliability and quality of the communication signal transmission services, redundant channel transmission is utilized to model the communication measurement. The purpose of the addressed problem is...
This work is devoted to the admissibility analysis for singular time-delay systems by using delta operator approach. By estimating the delay term with a two-term approximation, the singular system in delta operator domain is transformed into an interconnection of a time-invariant subsystem with constant delay and a uncertain one. By resorting to the input-output approach, a delay-range-dependent admissibility...
It is well-known that the communication among agents plays an important role in leader-following consensus. When the communication fails, it will greatly degrade the performance of the leader-following consensus. As technology develops, memory components are quite cheap. Thus it is very natural to use the information before the communication failure to enhance the robustness of leader-following consensus...
This paper considers the stabilization problem of nonlinear stochastic Hamiltonian systems with input time-varying delay. The systems under consideration are also subject to some small parameter perturbations in which are unavoidably involved. The dissipative structural properties of the Hamiltonian systems are fully considered and an observer-based adaptive controller are proposed to guarantee robustly...
In this paper, we propose a predictor-based sliding mode control algorithm for LTI systems with input-delay and disturbance. It is shown that our proposed algorithm can completely reject the constant disturbance from the state channel. It is also shown that with our proposed algorithm, an enhanced disturbance rejection can be achieved for a large class of other time-varying disturbances. Simulations...
Second-order system of lacking damper was an alyzed and studied, and a kind of control strategy namei overlapping control was proposed to overcome the overshoo problem. By converting an input signal into two signals whicl have certain relationships on amplitude and phase to counterac the overshoot of the system, and the response speed can also b guaranteed. The parameters of overlapping control were...
Localized small delay defects, for example due to degraded transistor drive strength caused by a broken fin, are a growing concern in current FinFET and emerging gate all around (GAA) technologies. Such defects are currently targeted by timing-aware Transition Delay Fault (TDF) tests that aim to test the target nodes along the longest path. The resulting tests often require considerable test generation...
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...
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