In this paper, two adaptive fuzzy output feedback control approaches are proposed for a class of uncertain stochastic nonlinear strict-feedback systems without the measurements states. The logic used to approximate unknown functions, and state observer is designed estimating unmeasured On basis observer, by combining backstepping technique with design, an approach developed. To overcome problem "explosion complexity" inherent in method, dynamic surface (DSC) incorporated into first scheme,...

Mainstream points-to analysis techniques for object-oriented languages rely predominantly on the allocation-site abstraction to model heap objects. We present MAHJONG, a novel that is specifically developed address needs of an important class type-dependent clients, such as call graph construction, devirtualization and may-fail casting. By merging equivalent automata representing type-consistent objects are created by abstraction, MAHJONG enables allocation-site-based run significantly...

Accurate prediction models are pivotal to improving the production efficiency and ensuring product quality in distillation processes. Traditional mechanism-based neglect real-world fluctuations, while data-driven suffer from noise overlook chemical constraints, leading inaccurate data diminished performance. Therefore, a hybrid framework that embeds model calibration into deep learning is proposed leverage complementary capabilities of both methodologies. The solves problem insufficient...

Sparsity-based tensor recovery methods have shown great potential in suppressing seismic data noise. These exploit sparsity measures capturing the low-dimensional structures inherent tensors to remove noise by applying constraints through soft-thresholding or hard-thresholding operators. However, these methods, considering that real are non-stationary and affected noise, variances of coefficients unknown may be difficult accurately estimate from degraded data, leading undesirable suppression...

This paper studies the adaptive finite-time stabilization problem for a class of nonlinear systems described by Takagi-Sugeno (T-S) fuzzy dynamic models with parametric uncertainties. A novel state feedback control scheme T-S is proposed, and developed based on Lyapunov theorem backstepping-like method. Augmented dynamics are introduced in design controllers to construct suitable functions. It shown that convergence closed-loop system can be achieved, potential controller singularity caused...

To equip data-driven dynamic chemical process models with strong interpretability, we develop a light attention–convolution–gate recurrent unit (LACG) architecture three sub-modules—a basic module, brand-new attention and residue module—that are specially designed to learn the general behavior, transient disturbances, other input factors of processes, respectively. Combined hyperparameter optimization framework, Optuna, effectiveness proposed LACG is tested by distributed control system...

Andersen's pointer analysis becomes more precise when applied with full heap cloning but unscalable for large, heap-intensive programs. In contrast, k-callsite-sensitive can be faster less some this paper, we make one step forward by enhancing QUery-Directed Adaptive (QUDA) optimizing compilers. The novelty of our analysis, called QUDA, lies in performing iteratively, starting k = 0 (without cloning), so that an abstract object is cloned at iteration i + 1 only if mayalias queries are not...

This paper studies the finite-time H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> control problem of T-S fuzzy systems subject to external disturbances. A novel approach is developed on basis Lyapunov function technique and theorem so that closed-loop system stable with guaranteed performance. It shown proposed does not require existence a before design controller in comparison many existing approaches nonlinear via functions, thus,...

Current mainstream technologies have exhibited limits in integrating global many-objective optimization methods with chemical production systems, resulting subpar outcomes terms of energy efficiency and environmental issues for methanol systems. In this study, a novel deep learning hybrid framework is proposed, which involves the construction mechanism model ability to elucidate underlying principles interrelationships chemistry on macroscopic scale data-driven enhance accuracy dependability...

As a core concept in the development of Unmanned Aerial Vehicles (UAVs) co-operation, formation flight is attracting more and attention recently. To realize fixed-wing vehicles, geometric control method based on real-time guidance point computation proposed paper. The within leader-follower pattern. Through feed forward point, guaranteed to converge quickly keep effectively. What's more, method, speed adjustment proposed, make accurately. Finally, researched autopilot three small rectangle,...

This paper investigates a finite-time formation control problem for multiple networked quadrotors. A novel distributed approach is presented under the leader-follower framework, and developed based on Lyapunov theory homogeneous system such that all quadrotors form maintain desired geometric pattern within finite time while tracking reference trajectory. The designed law composed of dynamic observer, position controller an attitude controller, in which observer adopted to provide estimates...

This paper considers the finite-time stabilization problem for a class of nonlinear systems that can be described by Takagi-Sugeno (T-S) fuzzy models. We propose novel switching control scheme T-S models, and is based on Lyapunov stability theory function technique. It shown controller quadratic obtained at same time solving set linear matrix inequalities, which easily facilitated available software packages. also potential law singularity avoided with proposed scheme. Unlike many existing...

Abstract The extractive distillation process for the separation of an ethyl formate‐ethanol‐water mixture with ethylene glycol as solvent was investigated. High‐purity products could be gathered in top column, and completely recycled bottom recovery column. Two kinds control strategy were designed tested system to handle strong disturbances feed flow rate composition. A comparison results indicated that based on a proper variable pairing defined according effective relative gain array more...

For storage and recovery requirements on large-scale seismic waveform data of the National Earthquake Data Backup Center (NEDBC), a distributed cluster processing model based Kafka message queues is designed to optimize inbound efficiency stored in HBase at NEDBC. Firstly, compare characteristics big architectures with that traditional disk array architectures. Secondly, realize analysis periodic truncation, write NoSQL record form through Spark Streaming cluster. Finally, test read/write...