This brief introduces a novel adaptive optimal output-feedback controller for permanent magnet synchronous motor (PMSM) systems, eliminating the need for prior knowledge of system dynamics, numerous integral window functions, or unmeasurable states and load torque. Initially, we design an adaptive optimal output-feedback controller by constructing internal states. Then, a policy iteration algorithm based on adaptive dynamic programming approximates the optimal output-feedback gain using only input and trajectory tracking error information. Notably, this method does not require the minimal polynomial of an exosystem or the solution of regulator equations, facilitating the overall design of the feedforward-feedback controller. The effectiveness of the proposed learning algorithm is validated on a PMSM system.
{"title":"Optimal Output-Feedback Controller Design Using Adaptive Dynamic Programming: A Permanent Magnet Synchronous Motor Application","authors":"Zhongyang Wang;Huiru Ye;Youqing Wang;Yukun Shi;Li Liang","doi":"10.1109/TCSII.2024.3483909","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3483909","url":null,"abstract":"This brief introduces a novel adaptive optimal output-feedback controller for permanent magnet synchronous motor (PMSM) systems, eliminating the need for prior knowledge of system dynamics, numerous integral window functions, or unmeasurable states and load torque. Initially, we design an adaptive optimal output-feedback controller by constructing internal states. Then, a policy iteration algorithm based on adaptive dynamic programming approximates the optimal output-feedback gain using only input and trajectory tracking error information. Notably, this method does not require the minimal polynomial of an exosystem or the solution of regulator equations, facilitating the overall design of the feedforward-feedback controller. The effectiveness of the proposed learning algorithm is validated on a PMSM system.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"208-212"},"PeriodicalIF":4.0,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The number of IoT devices has grown significantly in recent years, and edge computing in IoT is considered a new and growing trend in the technology industry. While cryptography is widely used to enhance the security of IoT devices, it also carries limitations such as resource constraints or latency. Therefore, lightweight cryptography (LWC) balances commensurate resource usage and maintaining security while minimizing system costs. The ASCON stands out among the LWC algorithms as a potential target for implementation and cryptoanalysis. It provides authenticated encryption with associated data (AEAD) and hashing functionalities in many variants, aiming for various applications. In this brief, we present an implementation of Ascon cryptography as a peripheral of a RISC-V System-on-a-Chip (SoC). The ASCON crypto core occupies 1,424 LUTs in FPGA and 17.4 kGE in 180nm CMOS technology while achieving 417 Gbits/J energy efficiency at a supply voltage of 1.0V and frequency of 2 MHz.
{"title":"ASIC Implementation of ASCON Lightweight Cryptography for IoT Applications","authors":"Khai-Duy Nguyen;Tuan-Kiet Dang;Binh Kieu-Do-Nguyen;Duc-Hung Le;Cong-Kha Pham;Trong-Thuc Hoang","doi":"10.1109/TCSII.2024.3483214","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3483214","url":null,"abstract":"The number of IoT devices has grown significantly in recent years, and edge computing in IoT is considered a new and growing trend in the technology industry. While cryptography is widely used to enhance the security of IoT devices, it also carries limitations such as resource constraints or latency. Therefore, lightweight cryptography (LWC) balances commensurate resource usage and maintaining security while minimizing system costs. The ASCON stands out among the LWC algorithms as a potential target for implementation and cryptoanalysis. It provides authenticated encryption with associated data (AEAD) and hashing functionalities in many variants, aiming for various applications. In this brief, we present an implementation of Ascon cryptography as a peripheral of a RISC-V System-on-a-Chip (SoC). The ASCON crypto core occupies 1,424 LUTs in FPGA and 17.4 kGE in 180nm CMOS technology while achieving 417 Gbits/J energy efficiency at a supply voltage of 1.0V and frequency of 2 MHz.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"278-282"},"PeriodicalIF":4.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-18DOI: 10.1109/TCSII.2024.3483575
Guangyu Yan;Wei Han;Chang Liu;Bowang Zhang;Meixuan Li
This brief presents a novel simultaneous wireless power and data transfer (SWPDT) system that combines inductive and capacitive couplings, featuring full-duplex communication with high data transfer rates. Specifically, the power and forward data are transferred through inductive coupling respectively by means of the DD coils and Q coils, while the backward data is transferred through capacitive coupling by means of the stray capacitances. Because of the decoupling characteristic of the DDQ coil structure and the use of two coupling types, the interferences among the power, forward data, and backward data are relatively low. By integrating the two coupling types, a comprehensive circuit model of full-duplex data transfer is established and analyzed. Finally, a 145-W prototype is actualized with 91.4% power transfer efficiency. The forward and backward data transfer rates are 150 kbps and 600 kbps, respectively, demonstrating the feasibility of the proposed system.
{"title":"A Simultaneous Wireless Power and Full-Duplex Data Transfer System Using a Mix of Inductive and Capacitive Couplings","authors":"Guangyu Yan;Wei Han;Chang Liu;Bowang Zhang;Meixuan Li","doi":"10.1109/TCSII.2024.3483575","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3483575","url":null,"abstract":"This brief presents a novel simultaneous wireless power and data transfer (SWPDT) system that combines inductive and capacitive couplings, featuring full-duplex communication with high data transfer rates. Specifically, the power and forward data are transferred through inductive coupling respectively by means of the DD coils and Q coils, while the backward data is transferred through capacitive coupling by means of the stray capacitances. Because of the decoupling characteristic of the DDQ coil structure and the use of two coupling types, the interferences among the power, forward data, and backward data are relatively low. By integrating the two coupling types, a comprehensive circuit model of full-duplex data transfer is established and analyzed. Finally, a 145-W prototype is actualized with 91.4% power transfer efficiency. The forward and backward data transfer rates are 150 kbps and 600 kbps, respectively, demonstrating the feasibility of the proposed system.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"323-327"},"PeriodicalIF":4.0,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lattice-based cryptography (LBC) exploits the learning with errors (LWE) problem and is the main algorithm standardized for Post-Quantum Cryptography (PQC). Number theoretic transforms (NTT) account for most of the latency and energy in the computation of the LWE problem. This brief presents a Compute-in-Memory (CIM) configurable-pipeline NTT accelerator for PQC. The accelerator incorporates a bidirectional pipeline array to minimize data latency, CIM processing elements to reduce memory access, and a parallel PQC circuit for LBC protocol deployment. A 28 nm chip of the accelerator consumes only 13 nJ per 256-point NTT, while achieving a throughput of 75.6 KOPS that achieves a remarkable reduction of up to 78% in clock cycles and a 45% reduction in energy consumption than state-of-the-art designs.
{"title":"A 28 nm 75.6 KOPS 13 nJ Computing-in-Memory Pipeline Number Theoretic Transform Accelerator for PQC","authors":"Jialiang Zhu;Yiyang Yuan;Long Nie;Weiye Tang;Ming Li;Hao Wu;Xiaojin Zhao;Guozhong Xing;Feng Zhang","doi":"10.1109/TCSII.2024.3481996","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3481996","url":null,"abstract":"Lattice-based cryptography (LBC) exploits the learning with errors (LWE) problem and is the main algorithm standardized for Post-Quantum Cryptography (PQC). Number theoretic transforms (NTT) account for most of the latency and energy in the computation of the LWE problem. This brief presents a Compute-in-Memory (CIM) configurable-pipeline NTT accelerator for PQC. The accelerator incorporates a bidirectional pipeline array to minimize data latency, CIM processing elements to reduce memory access, and a parallel PQC circuit for LBC protocol deployment. A 28 nm chip of the accelerator consumes only 13 nJ per 256-point NTT, while achieving a throughput of 75.6 KOPS that achieves a remarkable reduction of up to 78% in clock cycles and a 45% reduction in energy consumption than state-of-the-art designs.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"273-277"},"PeriodicalIF":4.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This brief presents a wideband continuous-rate reference-less ring-oscillator-based PAM4 CDR. Our proposed frequency-detection-gain-enhanced phase/frequency detector (GE-PFD), in which only two logic gates are added to the Alexander bang-bang phase detector, significantly speeds up the frequency acquisition process of our CDR with wide capture range by controlling an auxiliary charge pump (A-CP). This technique eliminates separate FD or extra clock phases in prior PFDs, thus saving power. Fabricated in a 40-nm CMOS process, our CDR prototype achieves 6-64-Gb/s data rate range, 19.8-Gb/s/ $mu $