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"This article studies a global and local piecewise fuzzy control for semilinear time-fractional parabolic partial differential equation (PDE) systems. First, the Takagi–Sugeno (T-S) fuzzy model is used to characterize a semilinear time-fractional parabolic PDE system. Then, on the basis of the T-S fuzzy model, a fuzzy controller is designed to make the resulting closed-loop semilinear time-fractional parabolic PDE system Mittag–Leffler stable. Meanwhile, the existence condition of the stabilizing fuzzy controller is given in the form of a linear matrix inequality (LMI). Finally, the effectiveness of the proposed scheme is verified by experiment simulation."

"This article presents a perspective on the current state and possible future directions of humanoid robotics, with particular emphasis on the gap between recent engineering advances and the realization of humanoid robots as reliable daily partners for humans. Although rapid progress has been achieved in locomotion, manipulation, and artificial intelligence, most humanoid systems remain primarily optimized for performancedriven demonstrations and staged showcases, with limited sustained integration into everyday human environments. We argue that closing this gap requires a fundamental shift from motion-centric engineering toward embodied, perceptive, and human-centered system design. Key enabling directions include integrated mechatronic and sensing architectures, multimodal perception and interaction, emotion recognition and affect-aware behavior, safety mechanisms for close human–robot coexistence, and large language model (LLM)–driven robotic intelligence and autonomous learning under practical constraints. Rather than providing a comprehensive technical review, this article highlights current limitations, synthesizes emerging research trends, and outlines a vision in which humanoid robots are engineered not merely to demonstrate technical capability, but to earn trust, adapt to human needs, and function as dependable partners in daily life."

"Welcome Welcome to the IEEE SMC Technical Committee on Trustworthy and Controllable Intelligent Systems (TCIS). The committee advances theories, methods, and applications for intelligent systems that are secure, reliable, transparent, and controllable. As AI is increasingly deployed in autonomous driving, intelligent finance, and cyber-physical infrastructures, ensuring trustworthy operation has become essential. TCIS brings together researchers,..."

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