In this technical note, the problem of event-trigger based adaptive control for a class uncertain nonlinear systems is considered. The nonlinearities system are not required to be globally Lipschitz. Since contains unknown parameters, it difficult task check assumption input-to-state stability (ISS) with respect measurement errors, which in most existing literature. To solve problem, we design both controller and triggering event at same time such that ISS no longer needed. addition...

In this paper, we investigate the problem of output feedback control for a class uncertain nonlinear systems with event-triggered input. The considered system contains not only unknown parameters, but also general functions that are required to be globally Lipschitz, in contrast most existing results area. Besides providing two different strategies without input-to-state stable assumption respect measurement errors, propose new way encode and decode signals further decrease communication...

Although rich collection of research results on event-triggered control exist, no effort has ever been made in integrating state/output triggering and controller simultaneously with backstepping design. The primary objective this article is, by using intermittent output signal only, to build a adaptive feedback for class uncertain nonlinear systems. To do so, we need tackle three technical obstacles. First, the nature event makes transmitted discontinuous, rendering regular recursive design...

It is still an open problem to synthesize control with input and output quantizations for nonlinear systems subject mismatched parametric uncertainties via backstepping design. This because 1) the becomes discontinuous nondifferentiable after quantization, making conventional recursive design method unsuitable as differentiation of virtual signals does not exist, while existing backstepping-based quantized only applicable modeled in normal form or without uncertainties; 2) it difficult deal...

In this paper, we propose a new distributed event-trigger consensus protocol for linear multiagent systems with external disturbances. Two problems are considered: one is leader-follower case and the other nonleader case. Different from existing results, our proposed scheme enables each agent to decide when transmit its state signals neighbors such that continuous communication between neighboring agents avoided. Clearly, can largely decrease burden of whole network. Besides, since control...

In this technical note, a robust adaptive control scheme is proposed based on backstepping techniques for class of nonlinear systems with unknown parameters. A modeling error may also exist in every state equation or channel and it bounded by known function which allowed to depend all system states. It shown that the can ensure signals closed-loop bounded, if strength errors sufficiently weak. Transient performance established. Thus stabilizing classical strict-feedback forms small...

Direct current (DC) microgrid is being increasingly investigated in modern power grid. An important issue DC operation to ensure proper sharing among converters. While this has been addressed through droop control, the resulting voltage deviation bus be compensated. To solve problem, a new distributed secondary control scheme presented paper for both and restoration. A key part of integration parameter `virtual drop' defined from gain line resistance. Since not required as feedback signal,...

The distributed control of DC microgrid is becoming increasingly important in modern power systems. One objective to ensure bus voltage stability and proper current sharing with a reduced communication burden. This paper presents new event-triggered secondary strategy for single-bus microgrid. Through this strategy, both regulation can be guaranteed. Moreover, through the event-triggering mechanism, each converter decide locally when transmit signals its neighbours. In way, burden among...

In this article, a decentralized adaptive control scheme is proposed based on backstepping techniques for class of uncertain interconnected systems with unknown modeling errors and interactions. Unlike existing results, the functions bounding interactions are not required to meet triangular condition. Namely, such allowed depend all states system. It shown that can ensure signals in closed-loop system bounded. Simulation studies verify effectiveness scheme.

In this paper, we propose a robust tracking control scheme for class of uncertain strict-feedback nonlinear systems. these systems, the signal is quantized by sector-bounded quantizers including well-known hysteresis quantizer and logarithmic quantizer. Compared with existing results in input-quantized control, proposed can systems non-global Lipschitz nonlinearities unmatched uncertainties caused model external disturbances. It shown that designed controller ensures global boundedness all...

Modern power grid is increasingly integrated with battery energy storage systems (BESSs). This paper deals the problem of state-of-charge (SoC) balance control for multiple distributed BESSs in smart grid. The are expected to work cooperatively not only fulfil overall requirement but also meet constraints same relative SoC variation rate. To achieve this objective, a approach presented event-triggered signal transmissions. It designed dynamic average consensus (DAC) mechanism parameter...

As a key part of modern power systems, DC microgrid is becoming increasingly important. Among different control methods for microgrid, secondary has been widely investigated since it can guarantee both current sharing and bus voltage restoration. However, the existing results only consider fixed ratio among converters, thus they cannot be applied to case where an adjustable desired. Motivated by this observation, paper presents new distributed strategy. By imposing time-varying droop gain...

This paper presents a novel distributed secondary control method for DC microgrids. The improves existing results by considering the effects of transmission line impedances and constant power loads (CPLs) on system stability. Specifically, new parameter named "virtual current derivative (VCD)" is defined which simplifies analysis facilitates improved design. It shown that through dynamic averaging VCDs, microgrid model can be reduced to second-order one regardless number converters...

Due to the difficulty in handling issue of nondifferentiable virtual control signals, there is still no available result considering output triggering and sensor faults simultaneously for nonlinear systems subject mismatched parameteric uncertainties via backstepping design, even though underlying problem practically important frequently encountered. In this article, deal with challenging problem, several crucial design ideas are proposed developing scheme. First, generate continuous...

Intermittent renewable energy sources are being increasingly integrated into modern power networks. This leads to severe frequency fluctuations in the Energy storage systems can be used for restoration due their capability provide in-time active compensations. paper examines control problem with multiple distributed battery (BESSs). A dual-consensus-based approach is presented control. It consists of three main components: 1) tuning BESS gain; 2) design signals as inputs BESSs proportional...

The increasing penetration level of photovoltaic (PV) systems in low-voltage networks causes voltage regulation issues. This brief proposes a new strategy utilizing distributed battery energy storage (BESSs) while incorporating the inevitable communication delays. proposed ensures that burden is appropriately shared among all involved BESSs network. effects delays on performance are analyzed and an admissible delay bound established. Case studies conducted to verify effectiveness strategy.

For islanded microgrids with inverter-based distributed generators (DGs), this article focuses on the fast finite-time secondary voltage and frequency control problem considering system uncertainties. The controller is designed based command filtered backstepping procedure, a disturbance observer constructed to estimate lumped uncertainties (including parameter perturbations, unmeasurable variables, etc.). In addition, singularity issue derived from differentiating virtual law avoided by...

In this article, under directed graphs, an adaptive consensus tracking control scheme is proposed for a class of nonlinear multiagent systems with completely unknown coefficients. Unlike the existing results, here, each agent allowed to have multiple nonidentical directions, and continuous communication between neighboring agents not needed. For agent, we design group novel Nussbaum functions construct monotonously increasing sequence in which effects our reinforce rather than counteract...

Dynamic average consensus (DAC) has found applications in various systems. The existing event-triggered DAC algorithms have not well addressed the issue of key communication link failures that lead to separation initial topology. This article presents a modified algorithm is independent its conditions. As result, it robust against failures. In this algorithm, each agent decides locally when transmit signals neighbors. way, burden among neighboring agents reduced. A numerical example provided...

This paper presents a novel fixed-time stabilization control (FSC) method for class of strict-feedback nonlinear systems involving unmodelled system dynamics. The key feature the proposed is design two dynamic parameters. Specifically, set auxiliary variables first introduced through state transformation. These combine original states and parameters, facilitating closed-loop stability analyses. Then, parameters are delicately designed by utilizing Lyapunov method, ensuring that all globally...