We present a hybrid metaheuristic optimization algorithm for solving economic dispatch problems in power systems. The proposed algorithm, based on bat combines chaotic map and random black hole model together. Chaotic is used to prevent premature convergence, the helpful not only avoiding but also increasing global search ability, enlarging exploitation area accelerating convergence speed. pseudocode related parameters of are given this paper. Different from other works, costs conventional...

In this article, the adaptive finite-time consensus problem is discussed for uncertain nonlinear multiagent systems. contrast with correlative literature, systems permit multiple uncertainties (not only in control coefficients but also inherent nonlinearities), and typically protocol pursued a fully distributed fashion (independent from any global information of network topology). This essentially challenges realization consensus. To overcome challenge, new continuous proposed by combining...

This paper considers the global stabilization for a class of uncertain nonlinear systems with unknown powers, control directions, and nonlinearities. Mainly due to presence powers which have not known upper bound, no existing methods are applicable problem be solved. In this paper, compensate serious system uncertainties particularly overcome major obstruction from we appeal mechanism switching adaptive feedback. By flexibly combining domination method adding power integrator, propose new...

This paper considers the global stabilization via time-varying output-feedback for a class of high-order uncertain nonlinear systems with rather weak assumptions. Essentially different from existing literature, under investigation simultaneously have more serious nonlinearities, unknowns, immeasurableness, and time-variations, which are indicated unknown control coefficients higher-order lower-order unmeasured states dependent growth rate function time output. Recognizing that adaptive...

This paper addresses the global adaptive stabilisation via switching and learning strategies for a class of uncertain nonlinear systems. Remarkably, systems in question simultaneously have unknown control directions, input disturbance growth rate, which makes problem challenging to solve essentially different from those existing literature. To problem, an scheme is proposed by skilfully integrating techniques backstepping design, switching. One key point design introduction mechanism, order...

Abstract This paper is concerned with the adaptive leader‐following consensus for first‐ and second‐order uncertain nonlinear multi‐agent systems (NMASs) single‐ double‐integrator leader, respectively. Remarkably, control coefficients of followers need not belong to any known finite interval, which makes in question essentially different from those related works. Moreover, parameterized unknowns exist nonlinearities followers, unknown input imposed on make problems difficult solve. To...

Summary System nonlinearities, immeasurableness, and uncertainties (especially their coupling/coexistence) have constantly challenged the control design, which requires controller to be powerful enough counteract resulting negative effects. In this paper, a global adaptive output‐feedback is designed for uncertain nonlinear systems. The proposed of switching type, in design parameters are online adjusted on basis logic recursive manner. This makes compensate system unknowns dominate...

Recently, there emerge many excellent algorithms in the field of visual object tracking. Especially, background aware correlation filter (BACF) has received much attention, owing to its ability cope with boundary effect. However, related works, exist two aspects imperfections: 1) only histograms oriented gradients (HOG) is extracted, through which information targets cannot be fully expressed; and 2) scale estimation strategy imperfect terms parameters, makes it impossible accurately track...

In this paper, finite-time consensus tracking is investigated via time-varying feedback for uncertain nonlinear multi-agent systems (NMASs). The presence of inherent uncertainties and disturbances in the NMASs highlights main novelty : (1) imply that more serious unknowns time-variations are allowed nonlineartities control coefficients NMASs. (2) mean upper bound unknown. To compensate disturbances, protocols proposed by integrating technique sliding mode method. Based on protocols,...

This paper focuses on visual SLAM with RGB-D cameras (abbreviated as SLAM), which has been an actively studied issue in the robotics community since can obtain depth information of environments simply. Firstly, two types are introduced according to principle measurement. Secondly, typical algorithm framework is normally divided into four parts: odometry, optimization, loop closing and mapping. Thirdly, a series landmark achievements algorithm, open source libraries tools, performance...

Summary This paper is devoted to the global stabilization via output feedback for a class of nonlinear systems with unknown relative degree, dynamics uncertainties, control direction, and nonparametric uncertain nonlinearities. In particular, degree without known upper bound, which renders us research filter varying dimension rather than ones over dimensions in existing literature. comparison more popular but bit stronger input‐to‐state stable or practically requirement, only bounded‐input...

This paper is concerned with the finite-time tracking for linear and nonlinear systems, respect to reference signal (to be tracked by system state) obeying some uniformity. Before control design of tracking, an interesting basic problem whether or not such exists concerned. aims this problem. First, sufficient necessary conditions on are proposed systems. Such then extended those affine It should pointed out that in essentially reveal relationship between structure linear/nonlinear systems...

This paper is devoted to the global stabilization via output-feedback for a class of high-order uncertain time-varying nonlinear systems. Mainly due control coefficients and unknown growth, problem has not yet been solved. By introducing transformation observer, skillfully employing adding power integrator, technique certainty equivalence principle, design scheme developed. It shown that, with appropriate choice functions, all signals closed-loop system are globally bounded, furthermore...

Abstract This paper investigates the global output‐feedback stabilization for a class of stochastic nonlinear systems with function control coefficients. Notably, in question possess coefficients that are functions output, rather than constants; hence, they different from existing literature on stabilization. To solve problem, an appropriate reduced‐order observer is introduced to reconstruct unmeasured system states before smooth controller designed using backstepping method, which...

Summary This article is devoted to global adaptive stabilization for a class of uncertain nonlinear systems. Notably, the systems under investigation admit unknown control directions and input powers, particularly latter, which are new type system uncertainties, largely challenge feasibility continuous feedbacks. spurs us pursue switching feedback actual discontinuous one with high capability. To solve problem, parameterized controller in specified form first introduced, can globally...

This paper is devoted to the leader-follower consensus problem for nonlinear multi-agent systems. Remarkably, control coefficients in systems are unknown which makes rather difficult solve. By employing distributed adaptive protocols, achieved under undirected connected graph first-order Furthermore, similar results general case obtained second-order At last, two simulation examples given show effectiveness of protocols.

This paper is concerned with the global stabilization via time-varying outputfeedback for a class of high-order uncertain nonlinear systems. The remarkable feature systems, that is, unknown control coefficients and unmeasured states dependent growth rate, makes existing design methods unapplicable. By skillfully combining approach certainty equivalence principle, output-feedback scheme proposed in paper. It worth mentioning serious unknowns time-variations systems are compensated by...

Abstract This paper is devoted to the adaptive stabilization for uncertain hyperbolic PDE‐ODE cascade systems. Remarkably, unknown spatially varying and constant parameters exist in PDE ODE subsystems, respectively. brings essential difficulties design of compensator boundary controller, involved performance analysis. To solve control problem, an infinite‐dimensional backstepping transformation (simplified as IDBT) its inverse are first introduced change original system into a new (called...